Part 1: Setup a Git project and the GitHub repository
Go to wherever you are planning to store the data on your computer, and create a folder for this project
In that folder, save this template as “README.Rmd”. This will be the markdown file where all the magic will happen.
Go to your GitHub account and create a new repository of the same name that your local folder has, e.g., “JSC370-labs”.
Initialize the Git project, add the “README.Rmd” file, and make your first commit.
Add the repo you just created on GitHub.com to the list of remotes, and push your commit to origin while setting the upstream.
Most of the steps can be done using command line:
# Step 1
cd ~/Documents
mkdir JSC370-labs
cd JSC370-labs
# Step 2
wget https://raw.githubusercontent.com/JSC370/jsc370-2023/main/labs/lab05/lab05-wrangling-gam.Rmd
mv lab05-wrangling-gam.Rmd README.Rmd
# if wget is not available,
curl https://raw.githubusercontent.com/JSC370/jsc370-2023/main/labs/lab05/lab05-wrangling-gam.Rmd --output README.Rmd
# Step 3
# Happens on github
# Step 4
git init
git add README.Rmd
git commit -m "First commit"
# Step 5
git remote add origin git@github.com:[username]/JSC370-labs
git push -u origin masterYou can also complete the steps in R (replace with your paths/username when needed)
# Step 1
setwd("~/Documents")
dir.create("JSC370-labs")
setwd("JSC370-labs")
# Step 2
download.file(
"https://raw.githubusercontent.com/JSC370/jsc370-2023/main/labs/lab05/lab05-wrangling-gam.Rmd",
destfile = "README.Rmd"
)
# Step 3: Happens on Github
# Step 4
system("git init && git add README.Rmd")
system('git commit -m "First commit"')
# Step 5
system("git remote add origin git@github.com:[username]/JSC370-labs")
system("git push -u origin master")Once you are done setting up the project, you can now start working with the MET data.
Setup in R
- Load the
data.table(and thedtplyranddplyrpackages if you plan to work with those).
library('data.table')
library('dplyr')##
## Attaching package: 'dplyr'## The following objects are masked from 'package:data.table':
##
## between, first, last## The following objects are masked from 'package:stats':
##
## filter, lag## The following objects are masked from 'package:base':
##
## intersect, setdiff, setequal, unionlibrary('dtplyr')- Load the met data from https://github.com/JSC370/jsc370-2023/blob/main/labs/lab03/met_all.gz or (Use https://raw.githubusercontent.com/JSC370/jsc370-2023/main/labs/lab03/met_all.gz to download programmatically), and also the station data. For the latter, you can use the code we used during lecture to pre-process the stations data:
#read met
met <- fread("https://raw.githubusercontent.com/JSC370/jsc370-2023/main/labs/lab03/met_all.gz")
head(met)## USAFID WBAN year month day hour min lat lon elev wind.dir wind.dir.qc
## 1: 690150 93121 2019 8 1 0 56 34.3 -116.166 696 220 5
## 2: 690150 93121 2019 8 1 1 56 34.3 -116.166 696 230 5
## 3: 690150 93121 2019 8 1 2 56 34.3 -116.166 696 230 5
## 4: 690150 93121 2019 8 1 3 56 34.3 -116.166 696 210 5
## 5: 690150 93121 2019 8 1 4 56 34.3 -116.166 696 120 5
## 6: 690150 93121 2019 8 1 5 56 34.3 -116.166 696 NA 9
## wind.type.code wind.sp wind.sp.qc ceiling.ht ceiling.ht.qc ceiling.ht.method
## 1: N 5.7 5 22000 5 9
## 2: N 8.2 5 22000 5 9
## 3: N 6.7 5 22000 5 9
## 4: N 5.1 5 22000 5 9
## 5: N 2.1 5 22000 5 9
## 6: C 0.0 5 22000 5 9
## sky.cond vis.dist vis.dist.qc vis.var vis.var.qc temp temp.qc dew.point
## 1: N 16093 5 N 5 37.2 5 10.6
## 2: N 16093 5 N 5 35.6 5 10.6
## 3: N 16093 5 N 5 34.4 5 7.2
## 4: N 16093 5 N 5 33.3 5 5.0
## 5: N 16093 5 N 5 32.8 5 5.0
## 6: N 16093 5 N 5 31.1 5 5.6
## dew.point.qc atm.press atm.press.qc rh
## 1: 5 1009.9 5 19.88127
## 2: 5 1010.3 5 21.76098
## 3: 5 1010.6 5 18.48212
## 4: 5 1011.6 5 16.88862
## 5: 5 1012.7 5 17.38410
## 6: 5 1012.7 5 20.01540# Download the data
stations <- fread("ftp://ftp.ncdc.noaa.gov/pub/data/noaa/isd-history.csv")
stations[, USAF := as.integer(USAF)]## Warning in eval(jsub, SDenv, parent.frame()): NAs introduced by coercion# Dealing with NAs and 999999
stations[, USAF := fifelse(USAF == 999999, NA_integer_, USAF)]
stations[, CTRY := fifelse(CTRY == "", NA_character_, CTRY)]
stations[, STATE := fifelse(STATE == "", NA_character_, STATE)]
# Selecting the three relevant columns, and keeping unique records
stations <- unique(stations[, list(USAF, CTRY, STATE)])
# Dropping NAs
stations <- stations[!is.na(USAF)]
# Removing duplicates
stations[, n := 1:.N, by = .(USAF)]
stations <- stations[n == 1,][, n := NULL]- Merge the data as we did during the lecture.
data <- merge(
# Data
x = met,
y = stations,
# List of variables to match
by.x = "USAFID",
by.y = "USAF",
# Which obs to keep?
all.x = TRUE,
all.y = FALSE
) met_lz <- lazy_dt(data, immutable = FALSE)
met_lz## Source: local data table [2,377,343 x 32]
## Call: `_DT1`
##
## USAFID WBAN year month day hour min lat lon elev wind.dir wind.d…¹
## <int> <int> <int> <int> <int> <int> <int> <dbl> <dbl> <int> <int> <chr>
## 1 690150 93121 2019 8 1 0 56 34.3 -116. 696 220 5
## 2 690150 93121 2019 8 1 1 56 34.3 -116. 696 230 5
## 3 690150 93121 2019 8 1 2 56 34.3 -116. 696 230 5
## 4 690150 93121 2019 8 1 3 56 34.3 -116. 696 210 5
## 5 690150 93121 2019 8 1 4 56 34.3 -116. 696 120 5
## 6 690150 93121 2019 8 1 5 56 34.3 -116. 696 NA 9
## # … with 2,377,337 more rows, 20 more variables: wind.type.code <chr>,
## # wind.sp <dbl>, wind.sp.qc <chr>, ceiling.ht <int>, ceiling.ht.qc <int>,
## # ceiling.ht.method <chr>, sky.cond <chr>, vis.dist <int>, vis.dist.qc <chr>,
## # vis.var <chr>, vis.var.qc <chr>, temp <dbl>, temp.qc <chr>,
## # dew.point <dbl>, dew.point.qc <chr>, atm.press <dbl>, atm.press.qc <int>,
## # rh <dbl>, CTRY <chr>, STATE <chr>, and abbreviated variable name
## # ¹wind.dir.qc
##
## # Use as.data.table()/as.data.frame()/as_tibble() to access resultsQuestion 1: Representative station for the US
Across all weather stations, what is the median station in terms of
temperature, wind speed, and atmospheric pressure? Look for the three
weather stations that best represent continental US using the
quantile() function. Do these three coincide?
met_avg_lz <- met_lz %>% group_by(USAFID)%>% summarise(
across (c(temp, wind.sp, atm.press), function(x) mean(x, na.rm=TRUE)))
met_avg_lz## Source: local data table [1,595 x 4]
## Call: `_DT1`[, .(temp = (function (x)
## mean(x, na.rm = TRUE))(temp), wind.sp = (function (x)
## mean(x, na.rm = TRUE))(wind.sp), atm.press = (function (x)
## mean(x, na.rm = TRUE))(atm.press)), keyby = .(USAFID)]
##
## USAFID temp wind.sp atm.press
## <int> <dbl> <dbl> <dbl>
## 1 690150 33.2 3.48 1010.
## 2 720110 31.2 2.14 NaN
## 3 720113 23.3 2.47 NaN
## 4 720120 27.0 2.50 NaN
## 5 720137 21.9 1.98 NaN
## 6 720151 27.6 3.00 NaN
## # … with 1,589 more rows
##
## # Use as.data.table()/as.data.frame()/as_tibble() to access results#median
met_med_lz <- met_avg_lz %>% summarise(
across (c(temp, wind.sp, atm.press), function(x) quantile(x, probs = 0.5, na.rm=TRUE)))
met_med_lz## Source: local data table [1 x 3]
## Call: `_DT1`[, .(temp = (function (x)
## mean(x, na.rm = TRUE))(temp), wind.sp = (function (x)
## mean(x, na.rm = TRUE))(wind.sp), atm.press = (function (x)
## mean(x, na.rm = TRUE))(atm.press)), keyby = .(USAFID)][, .(temp = (function (x)
## quantile(x, probs = 0.5, na.rm = TRUE))(temp), wind.sp = (function (x)
## quantile(x, probs = 0.5, na.rm = TRUE))(wind.sp), atm.press = (function (x)
## quantile(x, probs = 0.5, na.rm = TRUE))(atm.press))]
##
## temp wind.sp atm.press
## <dbl> <dbl> <dbl>
## 1 23.7 2.46 1015.
##
## # Use as.data.table()/as.data.frame()/as_tibble() to access resultsmed_temp <- met_avg_lz %>% mutate(
temp_diff = abs(temp - (met_med_lz %>% pull(temp)))) %>% arrange((temp_diff)) %>% slice(1) %>% pull(USAFID)
med_wind <- met_avg_lz %>% mutate(
wind_diff = abs(wind.sp - (met_med_lz %>% pull(wind.sp)))) %>% arrange((wind_diff)) %>% slice(1) %>% pull(USAFID)
med_pres <- met_avg_lz %>% mutate(
pres_diff = abs(atm.press - (met_med_lz %>% pull(atm.press)))) %>% arrange((pres_diff)) %>% slice(1) %>% pull(USAFID)
med_temp## [1] 720458med_wind## [1] 720929med_pres## [1] 722238Response The three stations are not identical. For temperature, the median station is 720458; for wind speed, the median station is 720929, and for atmosphere pressure, the median station is 722238. They do not coincide.
Knit the document, commit your changes, and save it on GitHub. Don’t
forget to add README.md to the tree, the first time you
render it.
Question 2: Representative station per state
Just like the previous question, you are asked to identify what is the most representative, the median, station per state. This time, instead of looking at one variable at a time, look at the euclidean distance. If multiple stations show in the median, select the one located at the lowest latitude.
#median
met_med_s_lz <- met_lz %>% group_by(STATE) %>% summarise(
across (c(temp, wind.sp, atm.press), function(x) quantile(x, probs = 0.5, na.rm=TRUE)))
merged <- met_lz %>% left_join(met_med_s_lz, by = "STATE") %>% as.data.frame()
merged## USAFID WBAN year month day hour min lat lon elev wind.dir
## 1 690150 93121 2019 8 1 0 56 34.300 -116.166 696 220
## 2 690150 93121 2019 8 1 1 56 34.300 -116.166 696 230
## 3 690150 93121 2019 8 1 2 56 34.300 -116.166 696 230
## 4 690150 93121 2019 8 1 3 56 34.300 -116.166 696 210
## 5 690150 93121 2019 8 1 4 56 34.300 -116.166 696 120
## 6 690150 93121 2019 8 1 5 56 34.300 -116.166 696 NA
## 7 690150 93121 2019 8 1 6 56 34.300 -116.166 696 320
## 8 690150 93121 2019 8 1 7 56 34.300 -116.166 696 10
## 9 690150 93121 2019 8 1 8 56 34.300 -116.166 696 320
## 10 690150 93121 2019 8 1 9 56 34.300 -116.166 696 350
## 11 690150 93121 2019 8 1 10 56 34.296 -116.162 625 360
## 12 690150 93121 2019 8 1 11 56 34.296 -116.162 625 310
## 13 690150 93121 2019 8 1 12 56 34.300 -116.166 696 NA
## 14 690150 93121 2019 8 1 13 56 34.300 -116.166 696 NA
## 15 690150 93121 2019 8 1 14 56 34.300 -116.166 696 NA
## 16 690150 93121 2019 8 1 15 56 34.300 -116.166 696 350
## 17 690150 93121 2019 8 1 16 56 34.300 -116.166 696 30
## 18 690150 93121 2019 8 1 17 56 34.300 -116.166 696 NA
## 19 690150 93121 2019 8 1 18 56 34.300 -116.166 696 NA
## 20 690150 93121 2019 8 1 19 56 34.300 -116.166 696 100
## 21 690150 93121 2019 8 1 20 56 34.300 -116.166 696 150
## 22 690150 93121 2019 8 1 21 56 34.300 -116.166 696 200
## 23 690150 93121 2019 8 1 22 56 34.300 -116.166 696 220
## 24 690150 93121 2019 8 1 23 56 34.300 -116.166 696 220
## 25 690150 93121 2019 8 2 0 56 34.300 -116.166 696 250
## 26 690150 93121 2019 8 2 1 56 34.300 -116.166 696 230
## 27 690150 93121 2019 8 2 2 56 34.300 -116.166 696 240
## 28 690150 93121 2019 8 2 3 56 34.300 -116.166 696 240
## 29 690150 93121 2019 8 2 4 56 34.300 -116.166 696 260
## 30 690150 93121 2019 8 2 5 56 34.300 -116.166 696 260
## 31 690150 93121 2019 8 2 6 56 34.300 -116.166 696 10
## 32 690150 93121 2019 8 2 7 56 34.300 -116.166 696 310
## 33 690150 93121 2019 8 2 8 56 34.300 -116.166 696 310
## 34 690150 93121 2019 8 2 9 56 34.300 -116.166 696 310
## 35 690150 93121 2019 8 2 10 56 34.300 -116.166 696 280
## 36 690150 93121 2019 8 2 11 56 34.300 -116.166 696 280
## 37 690150 93121 2019 8 2 12 56 34.300 -116.166 696 280
## 38 690150 93121 2019 8 2 13 56 34.300 -116.166 696 300
## 39 690150 93121 2019 8 2 14 56 34.300 -116.166 696 300
## 40 690150 93121 2019 8 2 15 56 34.300 -116.166 696 300
## 41 690150 93121 2019 8 2 16 56 34.300 -116.166 696 NA
## 42 690150 93121 2019 8 2 17 56 34.300 -116.166 696 30
## 43 690150 93121 2019 8 2 18 56 34.300 -116.166 696 220
## 44 690150 93121 2019 8 2 19 56 34.300 -116.166 696 NA
## 45 690150 93121 2019 8 2 20 56 34.300 -116.166 696 150
## 46 690150 93121 2019 8 2 21 56 34.300 -116.166 696 170
## 47 690150 93121 2019 8 2 22 56 34.300 -116.166 696 120
## 48 690150 93121 2019 8 2 23 56 34.300 -116.166 696 220
## 49 690150 93121 2019 8 3 0 56 34.300 -116.166 696 220
## 50 690150 93121 2019 8 3 1 56 34.300 -116.166 696 230
## 51 690150 93121 2019 8 3 2 56 34.300 -116.166 696 220
## 52 690150 93121 2019 8 3 3 56 34.300 -116.166 696 220
## 53 690150 93121 2019 8 3 4 56 34.300 -116.166 696 240
## 54 690150 93121 2019 8 3 5 56 34.300 -116.166 696 280
## 55 690150 93121 2019 8 3 6 56 34.300 -116.166 696 350
## 56 690150 93121 2019 8 3 7 56 34.300 -116.166 696 340
## 57 690150 93121 2019 8 3 8 56 34.300 -116.166 696 290
## 58 690150 93121 2019 8 3 9 56 34.300 -116.166 696 290
## 59 690150 93121 2019 8 3 10 56 34.300 -116.166 696 310
## 60 690150 93121 2019 8 3 11 56 34.300 -116.166 696 280
## 61 690150 93121 2019 8 3 12 56 34.300 -116.166 696 280
## 62 690150 93121 2019 8 3 13 56 34.300 -116.166 696 310
## 63 690150 93121 2019 8 3 14 56 34.300 -116.166 696 320
## 64 690150 93121 2019 8 3 15 56 34.300 -116.166 696 NA
## 65 690150 93121 2019 8 3 16 56 34.300 -116.166 696 NA
## 66 690150 93121 2019 8 3 17 56 34.300 -116.166 696 170
## 67 690150 93121 2019 8 3 18 56 34.300 -116.166 696 90
## 68 690150 93121 2019 8 3 19 56 34.300 -116.166 696 NA
## 69 690150 93121 2019 8 3 20 56 34.300 -116.166 696 NA
## 70 690150 93121 2019 8 3 21 56 34.300 -116.166 696 180
## 71 690150 93121 2019 8 3 22 56 34.300 -116.166 696 190
## 72 690150 93121 2019 8 3 23 56 34.300 -116.166 696 230
## 73 690150 93121 2019 8 4 0 56 34.300 -116.166 696 230
## 74 690150 93121 2019 8 4 1 56 34.300 -116.166 696 210
## 75 690150 93121 2019 8 4 2 56 34.300 -116.166 696 230
## 76 690150 93121 2019 8 4 3 56 34.300 -116.166 696 230
## 77 690150 93121 2019 8 4 4 56 34.300 -116.166 696 260
## 78 690150 93121 2019 8 4 5 56 34.300 -116.166 696 280
## 79 690150 93121 2019 8 4 6 56 34.300 -116.166 696 350
## 80 690150 93121 2019 8 4 7 56 34.300 -116.166 696 310
## 81 690150 93121 2019 8 4 8 56 34.300 -116.166 696 290
## 82 690150 93121 2019 8 4 9 56 34.300 -116.166 696 290
## 83 690150 93121 2019 8 4 10 56 34.300 -116.166 696 290
## 84 690150 93121 2019 8 4 11 56 34.300 -116.166 696 290
## 85 690150 93121 2019 8 4 12 56 34.300 -116.166 696 290
## 86 690150 93121 2019 8 4 13 56 34.300 -116.166 696 280
## 87 690150 93121 2019 8 4 14 56 34.300 -116.166 696 NA
## 88 690150 93121 2019 8 4 15 56 34.300 -116.166 696 340
## 89 690150 93121 2019 8 4 16 56 34.300 -116.166 696 NA
## 90 690150 93121 2019 8 4 17 56 34.300 -116.166 696 130
## 91 690150 93121 2019 8 4 18 56 34.300 -116.166 696 120
## 92 690150 93121 2019 8 4 19 56 34.300 -116.166 696 120
## 93 690150 93121 2019 8 4 20 56 34.300 -116.166 696 320
## 94 690150 93121 2019 8 4 21 56 34.300 -116.166 696 NA
## 95 690150 93121 2019 8 4 22 56 34.300 -116.166 696 200
## 96 690150 93121 2019 8 4 23 56 34.300 -116.166 696 180
## 97 690150 93121 2019 8 5 0 56 34.300 -116.166 696 200
## 98 690150 93121 2019 8 5 1 56 34.300 -116.166 696 220
## 99 690150 93121 2019 8 5 2 56 34.300 -116.166 696 230
## 100 690150 93121 2019 8 5 3 56 34.300 -116.166 696 210
## 101 690150 93121 2019 8 5 4 56 34.300 -116.166 696 240
## 102 690150 93121 2019 8 5 5 56 34.300 -116.166 696 360
## 103 690150 93121 2019 8 5 6 56 34.300 -116.166 696 270
## 104 690150 93121 2019 8 5 7 56 34.300 -116.166 696 320
## 105 690150 93121 2019 8 5 8 56 34.300 -116.166 696 340
## 106 690150 93121 2019 8 5 9 56 34.300 -116.166 696 300
## 107 690150 93121 2019 8 5 10 56 34.300 -116.166 696 280
## 108 690150 93121 2019 8 5 11 56 34.300 -116.166 696 270
## 109 690150 93121 2019 8 5 12 56 34.300 -116.166 696 280
## 110 690150 93121 2019 8 5 13 56 34.300 -116.166 696 330
## 111 690150 93121 2019 8 5 14 56 34.300 -116.166 696 330
## 112 690150 93121 2019 8 5 15 56 34.300 -116.166 696 310
## 113 690150 93121 2019 8 5 16 56 34.300 -116.166 696 NA
## 114 690150 93121 2019 8 5 17 56 34.300 -116.166 696 NA
## 115 690150 93121 2019 8 5 18 56 34.300 -116.166 696 NA
## 116 690150 93121 2019 8 5 19 56 34.300 -116.166 696 NA
## 117 690150 93121 2019 8 5 20 56 34.300 -116.166 696 NA
## 118 690150 93121 2019 8 5 21 56 34.300 -116.166 696 200
## 119 690150 93121 2019 8 5 22 56 34.300 -116.166 696 190
## 120 690150 93121 2019 8 5 23 56 34.300 -116.166 696 240
## 121 690150 93121 2019 8 6 0 56 34.300 -116.166 696 240
## 122 690150 93121 2019 8 6 1 56 34.300 -116.166 696 240
## 123 690150 93121 2019 8 6 2 56 34.300 -116.166 696 240
## 124 690150 93121 2019 8 6 3 56 34.300 -116.166 696 260
## 125 690150 93121 2019 8 6 4 56 34.300 -116.166 696 290
## 126 690150 93121 2019 8 6 5 56 34.300 -116.166 696 250
## 127 690150 93121 2019 8 6 6 56 34.300 -116.166 696 280
## 128 690150 93121 2019 8 6 7 56 34.300 -116.166 696 280
## 129 690150 93121 2019 8 6 8 56 34.300 -116.166 696 330
## 130 690150 93121 2019 8 6 9 56 34.300 -116.166 696 280
## 131 690150 93121 2019 8 6 10 56 34.300 -116.166 696 260
## 132 690150 93121 2019 8 6 11 56 34.300 -116.166 696 340
## 133 690150 93121 2019 8 6 12 56 34.300 -116.166 696 290
## 134 690150 93121 2019 8 6 13 56 34.300 -116.166 696 260
## 135 690150 93121 2019 8 6 14 56 34.300 -116.166 696 120
## 136 690150 93121 2019 8 6 15 56 34.300 -116.166 696 190
## 137 690150 93121 2019 8 6 16 56 34.300 -116.166 696 NA
## 138 690150 93121 2019 8 6 17 56 34.300 -116.166 696 210
## 139 690150 93121 2019 8 6 18 56 34.300 -116.166 696 NA
## 140 690150 93121 2019 8 6 19 56 34.300 -116.166 696 360
## 141 690150 93121 2019 8 6 20 56 34.300 -116.166 696 NA
## 142 690150 93121 2019 8 6 21 56 34.300 -116.166 696 130
## 143 690150 93121 2019 8 6 22 56 34.300 -116.166 696 120
## 144 690150 93121 2019 8 6 23 56 34.300 -116.166 696 100
## 145 690150 93121 2019 8 7 0 56 34.300 -116.166 696 120
## 146 690150 93121 2019 8 7 1 56 34.300 -116.166 696 150
## 147 690150 93121 2019 8 7 2 56 34.300 -116.166 696 230
## 148 690150 93121 2019 8 7 3 56 34.300 -116.166 696 220
## 149 690150 93121 2019 8 7 4 56 34.300 -116.166 696 220
## 150 690150 93121 2019 8 7 5 56 34.300 -116.166 696 360
## 151 690150 93121 2019 8 7 6 56 34.300 -116.166 696 220
## 152 690150 93121 2019 8 7 7 56 34.300 -116.166 696 250
## 153 690150 93121 2019 8 7 7 59 34.300 -116.166 696 NA
## 154 690150 93121 2019 8 7 8 56 34.300 -116.166 696 210
## 155 690150 93121 2019 8 7 9 56 34.300 -116.166 696 350
## 156 690150 93121 2019 8 7 10 56 34.300 -116.166 696 270
## 157 690150 93121 2019 8 7 11 56 34.300 -116.166 696 300
## 158 690150 93121 2019 8 7 12 56 34.300 -116.166 696 330
## 159 690150 93121 2019 8 7 13 56 34.300 -116.166 696 60
## 160 690150 93121 2019 8 7 14 56 34.300 -116.166 696 360
## 161 690150 93121 2019 8 7 15 56 34.300 -116.166 696 NA
## 162 690150 93121 2019 8 7 16 56 34.300 -116.166 696 NA
## 163 690150 93121 2019 8 7 17 56 34.300 -116.166 696 NA
## 164 690150 93121 2019 8 7 18 56 34.300 -116.166 696 130
## 165 690150 93121 2019 8 7 19 54 34.300 -116.166 696 170
## 166 690150 93121 2019 8 7 19 56 34.300 -116.166 696 NA
## 167 690150 93121 2019 8 7 20 56 34.300 -116.166 696 240
## 168 690150 93121 2019 8 7 21 56 34.300 -116.166 696 200
## 169 690150 93121 2019 8 7 22 56 34.300 -116.166 696 220
## 170 690150 93121 2019 8 7 23 56 34.300 -116.166 696 230
## 171 690150 93121 2019 8 8 0 56 34.300 -116.166 696 200
## 172 690150 93121 2019 8 8 1 56 34.300 -116.166 696 230
## 173 690150 93121 2019 8 8 2 56 34.300 -116.166 696 220
## 174 690150 93121 2019 8 8 3 56 34.300 -116.166 696 220
## 175 690150 93121 2019 8 8 4 56 34.300 -116.166 696 150
## 176 690150 93121 2019 8 8 5 56 34.300 -116.166 696 290
## 177 690150 93121 2019 8 8 6 56 34.300 -116.166 696 290
## 178 690150 93121 2019 8 8 7 56 34.300 -116.166 696 NA
## 179 690150 93121 2019 8 8 7 59 34.300 -116.166 696 NA
## 180 690150 93121 2019 8 8 8 56 34.300 -116.166 696 NA
## 181 690150 93121 2019 8 8 9 56 34.300 -116.166 696 NA
## 182 690150 93121 2019 8 8 10 56 34.300 -116.166 696 350
## 183 690150 93121 2019 8 8 11 56 34.300 -116.166 696 310
## 184 690150 93121 2019 8 8 12 56 34.300 -116.166 696 NA
## 185 690150 93121 2019 8 8 13 56 34.300 -116.166 696 290
## 186 690150 93121 2019 8 8 14 56 34.300 -116.166 696 340
## 187 690150 93121 2019 8 8 15 56 34.300 -116.166 696 NA
## 188 690150 93121 2019 8 8 16 56 34.300 -116.166 696 NA
## 189 690150 93121 2019 8 8 17 56 34.300 -116.166 696 NA
## 190 690150 93121 2019 8 8 18 56 34.300 -116.166 696 NA
## 191 690150 93121 2019 8 8 19 56 34.300 -116.166 696 150
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## 1930 720110 53983 2019 8 17 3 50 30.784 -98.662 336 NA
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## 1937 720110 53983 2019 8 17 5 59 30.784 -98.662 336 NA
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## 1939 720110 53983 2019 8 17 6 30 30.784 -98.662 336 140
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## 1949 720110 53983 2019 8 17 9 50 30.784 -98.662 336 NA
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## 1954 720110 53983 2019 8 17 11 30 30.784 -98.662 336 NA
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## 2009 720110 53983 2019 8 18 5 50 30.784 -98.662 336 150
## 2010 720110 53983 2019 8 18 5 59 30.784 -98.662 336 NA
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## 2019 720110 53983 2019 8 18 8 50 30.784 -98.662 336 150
## 2020 720110 53983 2019 8 18 9 10 30.784 -98.662 336 NA
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## wind.dir.qc wind.type.code wind.sp.x wind.sp.qc ceiling.ht ceiling.ht.qc
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## 2 5 N 8.2 5 22000 5
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## 1848 5 N 4.1 5 22000 5
## 1849 5 N 2.6 5 22000 5
## 1850 5 N 2.1 5 22000 5
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## 1865 9 C 0.0 5 22000 5
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## 1884 9 C 0.0 5 22000 5
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## 1890 5 N 2.1 5 22000 5
## 1891 5 N 3.1 5 22000 5
## 1892 5 N 3.6 5 22000 5
## 1893 5 N 3.6 5 22000 5
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## 1896 5 N 2.6 5 22000 5
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## 1899 5 N 2.6 5 22000 5
## 1900 5 N 2.1 5 22000 5
## 1901 5 N 1.5 5 22000 5
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## 1903 5 N 2.6 5 22000 5
## 1904 5 N 2.6 5 22000 5
## 1905 5 N 1.5 5 22000 5
## 1906 5 N 2.6 5 22000 5
## 1907 5 N 3.1 5 22000 5
## 1908 5 N 3.1 5 22000 5
## 1909 5 N 3.1 5 22000 5
## 1910 5 V 4.1 5 22000 5
## 1911 5 N 3.6 5 22000 5
## 1912 5 N 4.1 5 22000 5
## 1913 5 N 4.1 5 22000 5
## 1914 5 N 5.1 5 22000 5
## 1915 5 N 3.1 5 22000 5
## 1916 5 N 5.7 5 22000 5
## 1917 5 N 5.1 5 22000 5
## 1918 5 N 5.1 5 22000 5
## 1919 5 N 4.1 5 22000 5
## 1920 5 N 4.6 5 22000 5
## 1921 5 N 4.1 5 22000 5
## 1922 5 N 3.1 5 22000 5
## 1923 5 N 3.1 5 22000 5
## 1924 5 N 3.1 5 22000 5
## 1925 5 N 4.1 5 22000 5
## 1926 5 N 2.6 5 22000 5
## 1927 5 N 2.6 5 22000 5
## 1928 5 N 1.5 5 22000 5
## 1929 5 N 1.5 5 22000 5
## 1930 9 C 0.0 5 22000 5
## 1931 9 C 0.0 5 22000 5
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## 1933 5 N 1.5 5 22000 5
## 1934 5 N 3.1 5 22000 5
## 1935 5 N 2.6 5 22000 5
## 1936 5 N 3.6 5 22000 5
## 1937 9 9 NA 9 NA 9
## 1938 5 N 4.1 5 22000 5
## 1939 5 N 2.6 5 22000 5
## 1940 5 N 4.1 5 22000 5
## 1941 5 N 3.1 5 22000 5
## 1942 5 N 2.1 5 22000 5
## 1943 5 N 2.6 5 22000 5
## 1944 5 N 3.6 5 22000 5
## 1945 5 N 3.1 5 22000 5
## 1946 5 N 2.1 5 22000 5
## 1947 5 N 2.1 5 22000 5
## 1948 5 N 1.5 5 22000 5
## 1949 9 C 0.0 5 22000 5
## 1950 9 C 0.0 5 22000 5
## 1951 5 N 1.5 5 22000 5
## 1952 9 C 0.0 5 22000 5
## 1953 9 C 0.0 5 22000 5
## 1954 9 C 0.0 5 22000 5
## 1955 9 C 0.0 5 22000 5
## 1956 9 C 0.0 5 22000 5
## 1957 9 C 0.0 5 22000 5
## 1958 9 C 0.0 5 22000 5
## 1959 5 N 1.5 5 22000 5
## 1960 5 N 3.1 5 22000 5
## 1961 5 N 3.1 5 22000 5
## 1962 5 N 3.1 5 22000 5
## 1963 5 N 4.6 5 22000 5
## 1964 5 V 3.1 5 22000 5
## 1965 5 N 2.6 5 22000 5
## 1966 5 V 3.6 5 22000 5
## 1967 5 N 3.6 5 22000 5
## 1968 5 N 4.1 5 22000 5
## 1969 5 N 3.1 5 22000 5
## 1970 5 N 5.1 5 22000 5
## 1971 5 N 4.1 5 22000 5
## 1972 5 N 3.1 5 22000 5
## 1973 5 N 2.6 5 22000 5
## 1974 5 N 2.6 5 22000 5
## 1975 5 N 2.1 5 22000 5
## 1976 5 N 2.6 5 22000 5
## 1977 5 V 3.6 5 22000 5
## 1978 5 N 3.1 5 22000 5
## 1979 5 N 2.6 5 22000 5
## 1980 5 V 4.6 5 22000 5
## 1981 5 N 3.6 5 22000 5
## 1982 5 N 2.6 5 22000 5
## 1983 5 N 3.6 5 22000 5
## 1984 5 N 5.7 5 22000 5
## 1985 5 N 4.6 5 22000 5
## 1986 5 N 3.6 5 22000 5
## 1987 5 N 2.6 5 22000 5
## 1988 5 N 2.6 5 22000 5
## 1989 5 N 3.6 5 22000 5
## 1990 5 N 5.1 5 22000 5
## 1991 5 N 5.7 5 22000 5
## 1992 5 N 4.1 5 22000 5
## 1993 5 N 4.1 5 22000 5
## 1994 5 N 3.6 5 22000 5
## 1995 5 N 4.1 5 22000 5
## 1996 5 N 3.6 5 22000 5
## 1997 5 N 3.1 5 22000 5
## 1998 5 N 2.6 5 22000 5
## 1999 5 N 4.1 5 22000 5
## 2000 5 N 3.6 5 22000 5
## 2001 5 N 3.1 5 22000 5
## 2002 5 N 3.6 5 22000 5
## 2003 5 N 3.6 5 22000 5
## 2004 5 N 3.6 5 22000 5
## 2005 5 N 3.6 5 22000 5
## 2006 5 N 4.6 5 22000 5
## 2007 5 N 3.6 5 22000 5
## 2008 5 N 2.6 5 22000 5
## 2009 5 N 5.1 5 22000 5
## 2010 9 9 NA 9 NA 9
## 2011 5 N 3.6 5 22000 5
## 2012 5 N 4.1 5 22000 5
## 2013 5 N 3.1 5 22000 5
## 2014 5 N 3.6 5 22000 5
## 2015 5 N 3.6 5 22000 5
## 2016 5 N 2.6 5 22000 5
## 2017 5 N 2.1 5 22000 5
## 2018 5 N 2.1 5 22000 5
## 2019 5 N 1.5 5 22000 5
## 2020 9 C 0.0 5 22000 5
## 2021 9 C 0.0 5 22000 5
## 2022 5 N 1.5 5 22000 5
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## 2025 9 C 0.0 5 22000 5
## 2026 5 N 2.6 5 22000 5
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## 2029 9 C 0.0 5 22000 5
## 2030 9 C 0.0 5 22000 5
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## ceiling.ht.method sky.cond vis.dist vis.dist.qc vis.var vis.var.qc temp.x
## 1 9 N 16093 5 N 5 37.2
## 2 9 N 16093 5 N 5 35.6
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## 49 9 N 16093 5 N 5 39.4
## 50 9 N 16093 5 N 5 37.8
## 51 9 N 16093 5 N 5 35.6
## 52 9 N 16093 5 N 5 34.4
## 53 9 N 16093 5 N 5 33.9
## 54 9 N 16093 5 N 5 32.2
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## 56 9 N 16093 5 N 5 29.4
## 57 9 N 16093 5 N 5 30.0
## 58 9 N 16093 5 N 5 28.9
## 59 9 N 16093 5 N 5 28.3
## 60 9 N 16093 5 N 5 27.8
## 61 9 N 16093 5 N 5 27.2
## 62 M N 14484 5 N 5 27.2
## 63 M N 16093 5 N 5 30.6
## 64 9 N 16093 5 N 5 32.2
## 65 9 N 16093 5 N 5 35.0
## 66 9 N 16093 5 N 5 36.7
## 67 9 N 16093 5 N 5 38.9
## 68 9 N 16093 5 N 5 40.0
## 69 M N 16093 5 N 5 41.7
## 70 M N 16093 5 N 5 41.7
## 71 M N 16093 5 N 5 41.7
## 72 M N 16093 5 N 5 41.7
## 73 9 N 16093 5 N 5 40.6
## 74 9 N 16093 5 N 5 38.9
## 75 9 N 16093 5 N 5 37.2
## 76 9 N 16093 5 N 5 35.6
## 77 9 N 16093 5 N 5 34.4
## 78 9 N 16093 5 N 5 33.3
## 79 9 N 16093 5 N 5 31.7
## 80 9 N 16093 5 N 5 31.1
## 81 9 N 16093 5 N 5 30.0
## 82 9 N 16093 5 N 5 28.9
## 83 9 N 16093 5 N 5 28.3
## 84 9 N 16093 5 N 5 28.3
## 85 9 N 16093 5 N 5 27.2
## 86 9 N 16093 5 N 5 27.8
## 87 9 N 16093 5 N 5 29.4
## 88 9 N 16093 5 N 5 33.3
## 89 9 N 16093 5 N 5 35.6
## 90 9 N 16093 5 N 5 37.8
## 91 9 N 16093 5 N 5 38.9
## 92 9 N 16093 5 N 5 39.4
## 93 9 N 16093 5 N 5 41.1
## 94 9 N 16093 5 N 5 41.7
## 95 9 N 16093 5 N 5 41.7
## 96 9 N 16093 5 N 5 41.1
## 97 9 N 16093 5 N 5 41.1
## 98 9 N 16093 5 N 5 39.4
## 99 9 N 16093 5 N 5 37.2
## 100 9 N 16093 5 N 5 35.6
## 101 9 N 16093 5 N 5 35.6
## 102 9 N 16093 5 N 5 32.8
## 103 9 N 16093 5 N 5 32.2
## 104 9 N 16093 5 N 5 30.0
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## 106 9 N 16093 5 N 5 28.3
## 107 9 N 16093 5 N 5 28.3
## 108 9 N 16093 5 N 5 28.3
## 109 9 N 16093 5 N 5 27.2
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## 111 9 N 16093 5 N 5 28.3
## 112 9 N 12875 5 N 5 32.8
## 113 9 N 16093 5 N 5 36.7
## 114 9 N 16093 5 N 5 38.3
## 115 9 N 16093 5 N 5 40.6
## 116 9 N 16093 5 N 5 41.1
## 117 9 N NA 9 N 5 NA
## 118 9 N 16093 5 N 5 43.3
## 119 9 N 16093 5 N 5 43.3
## 120 9 N 16093 5 N 5 43.3
## 121 9 N 16093 5 N 5 42.2
## 122 M N 16093 5 N 5 40.6
## 123 M N 16093 5 N 5 38.9
## 124 9 N 16093 5 N 5 37.8
## 125 9 N 16093 5 N 5 36.1
## 126 9 N 16093 5 N 5 34.4
## 127 9 N 16093 5 N 5 34.4
## 128 9 N 16093 5 N 5 32.8
## 129 9 N 16093 5 N 5 32.2
## 130 9 N 16093 5 N 5 31.7
## 131 9 N 16093 5 N 5 31.1
## 132 9 N 16093 5 N 5 31.1
## 133 9 N 16093 5 N 5 29.4
## 134 9 N 16093 5 N 5 30.6
## 135 M N 16093 5 N 5 30.0
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## 137 M N 16093 5 N 5 33.3
## 138 M N 16093 5 N 5 32.8
## 139 M N 16093 5 N 5 33.9
## 140 M N 16093 5 N 5 36.1
## 141 M N 16093 5 N 5 36.7
## 142 M N 16093 5 N 5 37.8
## 143 M N 16093 5 N 5 37.8
## 144 M N 16093 5 N 5 39.4
## 145 M N 16093 5 N 5 38.9
## 146 M N 16093 5 N 5 37.8
## 147 M N 16093 5 N 5 36.7
## 148 M N 16093 5 N 5 35.0
## 149 M N 16093 5 N 5 33.9
## 150 M N 16093 5 N 5 32.8
## 151 9 N 16093 5 N 5 32.2
## 152 9 N 16093 5 N 5 31.7
## 153 9 9 NA 9 9 9 NA
## 154 9 N 16093 5 N 5 29.4
## 155 9 N 16093 5 N 5 30.0
## 156 9 N 16093 5 N 5 28.3
## 157 9 N 16093 5 N 5 28.9
## 158 9 N 16093 5 N 5 27.8
## 159 9 N 16093 5 N 5 28.9
## 160 9 N 11265 5 N 5 30.6
## 161 M N 16093 5 N 5 33.3
## 162 M N 16093 5 N 5 34.4
## 163 M N 16093 5 N 5 35.0
## 164 M N 16093 5 N 5 36.7
## 165 M N 16093 5 N 5 37.0
## 166 M N 16093 5 N 5 37.2
## 167 M N 16093 5 N 5 38.3
## 168 M N 16093 5 N 5 38.3
## 169 9 N 16093 5 N 5 37.8
## 170 M N 16093 5 N 5 38.3
## 171 9 N 16093 5 N 5 37.2
## 172 9 N 16093 5 N 5 36.1
## 173 9 N 16093 5 N 5 33.9
## 174 9 N 16093 5 N 5 32.8
## 175 9 N 16093 5 N 5 31.1
## 176 9 N 14484 5 N 5 30.0
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## 179 9 9 NA 9 9 9 NA
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## 183 9 N 16093 5 N 5 26.7
## 184 9 N 16093 5 N 5 25.0
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## 190 9 N 16093 5 N 5 36.7
## 191 9 N 16093 5 N 5 36.7
## 192 9 N 16093 5 N 5 38.3
## 193 9 N 16093 5 N 5 37.8
## 194 9 N 16093 5 N 5 39.4
## 195 9 N 16093 5 N 5 38.9
## 196 9 N 16093 5 N 5 38.3
## 197 9 N 16093 5 N 5 36.7
## 198 9 N 14484 5 N 5 34.4
## 199 9 N 16093 5 N 5 32.8
## 200 9 N 16093 5 N 5 31.1
## 201 9 N 16093 5 N 5 30.6
## 202 9 N 16093 5 N 5 28.3
## 203 9 N 16093 5 N 5 27.2
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## 205 9 N 16093 5 N 5 25.0
## 206 9 N 16093 5 N 5 25.0
## 207 9 N 16093 1 9 9 23.9
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## 209 9 N 16093 5 N 5 22.2
## 210 9 N 16093 5 N 5 24.4
## 211 9 N 16093 5 N 5 28.3
## 212 9 N 16093 5 N 5 31.1
## 213 9 N 16093 5 N 5 33.9
## 214 9 N 16093 5 N 5 34.4
## 215 9 N 16093 5 N 5 36.1
## 216 9 N 16093 5 N 5 36.7
## 217 9 N 16093 5 N 5 38.3
## 218 9 N 16093 5 N 5 37.2
## 219 9 N 16093 5 N 5 37.2
## 220 9 N 16093 5 N 5 36.7
## 221 9 N 16093 5 N 5 34.4
## 222 9 N 16093 5 N 5 32.2
## 223 9 N 16093 5 N 5 30.6
## 224 9 N 16093 5 N 5 30.6
## 225 9 N 16093 5 N 5 28.9
## 226 9 N 16093 5 N 5 26.7
## 227 9 N 16093 5 N 5 25.6
## 228 9 N 16093 5 N 5 25.6
## 229 9 N 16093 5 N 5 23.9
## 230 9 N 16093 5 N 5 23.9
## 231 9 N 16093 5 N 5 22.2
## 232 9 N 16093 5 N 5 21.1
## 233 9 N 16093 5 N 5 22.8
## 234 9 N 16093 5 N 5 24.4
## 235 9 N 16093 5 N 5 27.8
## 236 9 N 16093 5 N 5 30.6
## 237 9 N 16093 5 N 5 31.7
## 238 9 N 16093 5 N 5 33.3
## 239 9 N 16093 5 N 5 34.4
## 240 9 N 16093 5 N 5 36.1
## 241 9 N 16093 5 N 5 36.1
## 242 9 N 16093 5 N 5 36.7
## 243 9 N 16093 5 N 5 36.7
## 244 9 N 16093 5 N 5 35.0
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## 246 9 N 16093 5 N 5 31.1
## 247 9 N 16093 5 N 5 29.4
## 248 9 N 16093 5 N 5 28.3
## 249 9 N 16093 5 N 5 27.8
## 250 9 N 16093 5 N 5 26.1
## 251 9 N 16093 5 N 5 25.6
## 252 9 N 16093 5 N 5 25.0
## 253 9 N 16093 5 N 5 23.9
## 254 9 N 16093 5 N 5 23.9
## 255 9 N 16093 5 N 5 23.9
## 256 9 N 16093 5 N 5 22.2
## 257 9 N 16093 5 N 5 22.8
## 258 9 N 14484 5 N 5 23.9
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## 261 9 N 16093 5 N 5 30.6
## 262 9 N 16093 5 N 5 31.7
## 263 9 N 16093 5 N 5 33.3
## 264 9 N 16093 5 N 5 34.4
## 265 9 N 16093 5 N 5 35.6
## 266 9 N 16093 1 9 9 36.7
## 267 9 N 16093 1 9 9 36.7
## 268 9 N 16093 1 9 9 36.1
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## 270 9 N 16093 1 9 9 32.8
## 271 9 N 16093 1 9 9 30.6
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## 274 9 N 16093 1 9 9 27.8
## 275 9 N 16093 1 9 9 26.7
## 276 9 N 16093 1 9 9 26.1
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## 278 9 N 16093 1 9 9 24.4
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## 280 9 N 16093 1 9 9 22.8
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## 286 9 N 16093 1 9 9 35.0
## 287 9 N 16093 1 9 9 36.1
## 288 9 N 16093 5 N 5 36.7
## 289 9 N 16093 5 N 5 37.8
## 290 9 N 16093 5 N 5 38.3
## 291 9 N 16093 5 N 5 37.8
## 292 9 N 16093 5 N 5 37.2
## 293 9 N 16093 1 9 9 36.1
## 294 9 N 16093 1 9 9 33.9
## 295 9 N 16093 5 N 5 32.2
## 296 9 N 16093 1 9 9 31.1
## 297 9 N 16093 5 N 5 30.6
## 298 9 N 14484 5 N 5 28.3
## 299 9 N 16093 5 N 5 28.3
## 300 9 N 16093 5 N 5 26.7
## 301 9 N 16093 5 N 5 25.6
## 302 9 N 16093 5 N 5 25.6
## 303 9 N 16093 5 N 5 23.9
## 304 9 N 16093 1 9 9 23.9
## 305 9 N 12875 5 N 5 24.4
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## 307 9 N 16093 5 N 5 29.4
## 308 9 N 16093 5 N 5 32.8
## 309 9 N 16093 5 N 5 35.0
## 310 9 N 16093 5 N 5 36.1
## 311 9 N 16093 5 N 5 37.8
## 312 9 N 16093 5 N 5 38.9
## 313 9 N 16093 5 N 5 39.4
## 314 9 N 16093 5 N 5 40.0
## 315 9 N 16093 5 N 5 40.6
## 316 9 N 16093 5 N 5 39.4
## 317 9 N 16093 5 N 5 37.8
## 318 9 N 16093 5 N 5 35.6
## 319 9 N 16093 5 N 5 33.9
## 320 9 N 16093 5 N 5 32.8
## 321 9 N 16093 5 N 5 32.2
## 322 9 N 16093 5 N 5 30.6
## 323 9 N 16093 5 N 5 28.9
## 324 9 N 16093 5 N 5 27.2
## 325 9 N 16093 5 N 5 26.1
## 326 9 N 16093 5 N 5 25.6
## 327 9 N 16093 5 N 5 25.6
## 328 9 N 16093 5 N 5 24.4
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## 331 9 N 11265 5 N 5 30.6
## 332 9 N 16093 5 N 5 34.4
## 333 9 N 16093 5 N 5 37.2
## 334 9 N 16093 5 N 5 38.3
## 335 9 N 16093 5 N 5 39.4
## 336 9 N 16093 5 N 5 40.6
## 337 9 N 16093 5 N 5 40.6
## 338 9 N 16093 5 N 5 41.1
## 339 9 N 16093 5 N 5 41.1
## 340 9 N 16093 5 N 5 41.1
## 341 9 N 16093 5 N 5 39.4
## 342 9 N 16093 5 N 5 36.7
## 343 9 N 16093 5 N 5 35.0
## 344 9 N 16093 5 N 5 33.3
## 345 9 N 6437 5 N 5 31.7
## 346 9 N 16093 5 N 5 30.6
## 347 9 N 16093 5 N 5 30.0
## 348 9 9 NA 9 9 9 NA
## 349 9 N 16093 5 N 5 28.9
## 350 9 N 16093 5 N 5 28.9
## 351 9 N 16093 5 N 5 26.7
## 352 9 N 16093 5 N 5 27.2
## 353 9 N 14484 1 9 9 25.6
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## 356 9 N 14484 5 N 5 31.7
## 357 9 N 16093 5 N 5 35.0
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## 359 9 N 16093 5 N 5 40.0
## 360 9 N 16093 5 N 5 41.1
## 361 9 N 16093 5 N 5 42.2
## 362 9 N 16093 5 N 5 42.2
## 363 9 N 16093 5 N 5 42.8
## 364 9 N 16093 5 N 5 41.7
## 365 9 N 16093 5 N 5 41.1
## 366 9 N 16093 5 N 5 38.9
## 367 9 N 16093 5 N 5 36.1
## 368 9 N 16093 5 N 5 34.4
## 369 9 N 16093 5 N 5 32.2
## 370 9 N 16093 5 N 5 31.1
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## 372 9 N 16093 5 N 5 31.1
## 373 9 N 16093 5 N 5 28.9
## 374 9 N 16093 5 N 5 27.8
## 375 9 N 16093 5 N 5 27.8
## 376 9 N 16093 5 N 5 26.7
## 377 9 N 16093 5 N 5 26.1
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## 380 9 N 16093 5 N 5 31.1
## 381 9 N 16093 5 N 5 35.0
## 382 9 N 16093 5 N 5 37.2
## 383 9 N 16093 5 N 5 39.4
## 384 9 N 16093 5 N 5 40.0
## 385 9 N 16093 5 N 5 39.4
## 386 9 N 16093 5 N 5 40.6
## 387 9 N 16093 5 N 5 41.1
## 388 9 N 16093 5 N 5 41.1
## 389 9 N 16093 5 N 5 39.4
## 390 9 N 16093 5 N 5 37.2
## 391 9 N 16093 5 N 5 35.0
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## 396 9 N 16093 5 N 5 29.4
## 397 9 N 16093 5 N 5 28.3
## 398 9 N 16093 5 N 5 28.3
## 399 9 N 16093 5 N 5 25.0
## 400 9 N 16093 5 N 5 24.4
## 401 9 N 16093 5 N 5 23.3
## 402 9 N 14484 5 N 5 23.3
## 403 9 N 11265 5 N 5 26.1
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## 405 9 N 16093 5 N 5 33.3
## 406 9 N 16093 5 N 5 36.7
## 407 9 N 16093 5 N 5 37.8
## 408 9 N 16093 5 N 5 37.2
## 409 9 N 16093 5 N 5 39.4
## 410 9 N 16093 5 N 5 39.4
## 411 9 N 16093 5 N 5 39.4
## 412 9 N 16093 5 N 5 39.4
## 413 9 N 16093 5 N 5 38.3
## 414 9 N 16093 5 N 5 35.6
## 415 9 N 16093 5 N 5 32.8
## 416 9 N 16093 5 N 5 30.6
## 417 9 N 16093 5 N 5 30.6
## 418 9 N 16093 5 N 5 30.0
## 419 9 N 16093 5 N 5 27.2
## 420 9 N 16093 5 N 5 26.7
## 421 9 N 16093 5 N 5 25.0
## 422 9 N 16093 5 N 5 26.1
## 423 9 N 16093 5 N 5 22.2
## 424 9 N 16093 5 N 5 21.7
## 425 9 N 16093 5 N 5 21.1
## 426 9 N 16093 5 N 5 20.6
## 427 9 N 16093 5 N 5 23.9
## 428 9 N 16093 5 N 5 27.2
## 429 9 N 16093 5 N 5 31.1
## 430 9 N 16093 5 N 5 35.0
## 431 9 N 16093 5 N 5 35.6
## 432 9 N 16093 5 N 5 36.7
## 433 M N 16093 5 N 5 37.8
## 434 M N 16093 5 N 5 37.8
## 435 9 N 16093 5 N 5 38.3
## 436 9 N 16093 5 N 5 37.2
## 437 9 N 16093 5 N 5 36.7
## 438 9 N 16093 5 N 5 35.0
## 439 9 N 16093 5 N 5 32.8
## 440 9 N 16093 5 N 5 31.1
## 441 9 N 16093 5 N 5 30.6
## 442 9 N 16093 5 N 5 28.9
## 443 9 N 16093 5 N 5 27.2
## 444 9 N 16093 5 N 5 26.1
## 445 9 N 16093 5 N 5 25.0
## 446 9 N 16093 5 N 5 24.4
## 447 9 N 16093 5 N 5 23.3
## 448 9 N 16093 5 N 5 20.6
## 449 9 N 16093 5 N 5 21.7
## 450 9 N 14484 5 N 5 22.8
## 451 9 N 16093 5 N 5 23.9
## 452 9 N 9656 5 N 5 27.2
## 453 9 N 16093 5 N 5 31.7
## 454 9 N 16093 5 N 5 33.9
## 455 9 N 16093 5 N 5 35.6
## 456 9 N 16093 5 N 5 37.2
## 457 9 N 16093 5 N 5 37.8
## 458 9 N 16093 5 N 5 38.9
## 459 9 N 16093 5 N 5 39.4
## 460 9 N 16093 5 N 5 38.9
## 461 9 N 16093 5 N 5 37.8
## 462 9 N 16093 5 N 5 35.6
## 463 9 N 16093 5 N 5 33.3
## 464 9 N 16093 5 N 5 31.7
## 465 9 N 16093 5 N 5 30.6
## 466 9 N 16093 5 N 5 27.2
## 467 9 N 16093 5 N 5 28.9
## 468 9 N 16093 5 N 5 27.2
## 469 9 9 NA 9 9 9 NA
## 470 9 N 16093 5 N 5 25.0
## 471 9 N 16093 5 N 5 25.0
## 472 9 N 16093 5 N 5 23.9
## 473 9 N 16093 5 N 5 23.3
## 474 9 N 16093 5 N 5 21.7
## 475 9 N 16093 5 N 5 23.9
## 476 9 N 12875 5 N 5 25.6
## 477 9 N 16093 5 N 5 28.3
## 478 9 N 16093 5 N 5 31.7
## 479 9 N 16093 5 N 5 36.7
## 480 9 N 16093 5 N 5 38.3
## 481 9 N 16093 5 N 5 38.9
## 482 9 N 16093 5 N 5 40.0
## 483 9 N 16093 5 N 5 40.0
## 484 9 N 16093 5 N 5 40.6
## 485 9 N 16093 5 N 5 40.0
## 486 9 N 16093 5 N 5 38.9
## 487 9 N 16093 5 N 5 34.4
## 488 9 N 16093 5 N 5 32.8
## 489 9 N 14484 5 N 5 32.2
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## 491 9 N 16093 5 N 5 30.6
## 492 9 N 16093 5 N 5 29.4
## 493 9 N 16093 5 N 5 28.9
## 494 9 N 16093 5 N 5 27.2
## 495 9 N 16093 5 N 5 26.1
## 496 9 N 16093 5 N 5 25.0
## 497 9 N 16093 5 N 5 25.0
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## 499 9 N 14484 5 N 5 28.3
## 500 9 N 16093 5 N 5 30.6
## 501 9 N 16093 5 N 5 33.3
## 502 9 N 16093 5 N 5 35.6
## 503 9 N 16093 5 N 5 37.8
## 504 9 N 16093 5 N 5 40.0
## 505 9 N 16093 5 N 5 40.6
## 506 9 N 16093 5 N 5 41.7
## 507 9 N 16093 5 N 5 41.7
## 508 9 N 16093 5 N 5 41.7
## 509 9 N 16093 5 N 5 41.1
## 510 9 N 16093 5 N 5 39.4
## 511 9 N 16093 5 N 5 36.1
## 512 9 N 16093 5 N 5 34.4
## 513 9 N 16093 5 N 5 33.3
## 514 9 N 16093 5 N 5 31.7
## 515 9 N 16093 5 N 5 30.6
## 516 9 N 16093 5 N 5 28.3
## 517 9 N 16093 5 N 5 27.8
## 518 9 N 16093 5 N 5 26.1
## 519 9 N 16093 5 N 5 26.1
## 520 9 N 16093 5 N 5 23.9
## 521 9 N 16093 5 N 5 23.3
## 522 9 N 12875 5 N 5 22.8
## 523 9 N 16093 5 N 5 26.7
## 524 9 N 16093 5 N 5 28.9
## 525 9 N 16093 5 N 5 31.7
## 526 9 N 16093 5 N 5 34.4
## 527 9 N 16093 5 N 5 36.7
## 528 9 N 16093 5 N 5 38.9
## 529 9 N 16093 5 N 5 40.6
## 530 M N 16093 5 N 5 40.6
## 531 9 N 16093 5 N 5 41.1
## 532 9 N 16093 5 N 5 40.0
## 533 9 N 16093 5 N 5 38.3
## 534 9 N 16093 5 N 5 36.1
## 535 9 N 16093 5 N 5 33.9
## 536 9 N 16093 5 N 5 32.2
## 537 9 N 16093 5 N 5 31.1
## 538 9 N 16093 5 N 5 30.0
## 539 9 N 16093 5 N 5 27.8
## 540 9 N 16093 5 N 5 26.1
## 541 9 N 16093 5 N 5 24.4
## 542 9 N 16093 5 N 5 23.3
## 543 9 N 16093 5 N 5 22.2
## 544 9 N 16093 5 N 5 21.1
## 545 9 N 16093 5 N 5 21.1
## 546 9 N 4023 5 N 5 21.1
## 547 9 N 8047 5 N 5 21.7
## 548 9 N 16093 5 N 5 25.0
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## 551 9 N 16093 5 N 5 32.2
## 552 9 N 16093 5 N 5 34.4
## 553 9 N 16093 5 N 5 36.1
## 554 9 N 16093 5 N 5 36.7
## 555 9 N 14484 5 N 5 38.9
## 556 9 N 16093 5 N 5 38.3
## 557 9 N 16093 5 N 5 37.2
## 558 9 N 16093 5 N 5 36.1
## 559 9 N 16093 5 N 5 34.4
## 560 9 N 16093 5 N 5 32.2
## 561 9 N 16093 5 N 5 31.1
## 562 9 N 16093 5 N 5 30.6
## 563 9 N 16093 5 N 5 29.4
## 564 9 N 16093 5 N 5 27.8
## 565 9 N 16093 5 N 5 27.8
## 566 9 9 NA 9 9 9 NA
## 567 9 N 16093 5 N 5 27.2
## 568 9 N 16093 5 N 5 26.1
## 569 9 N 16093 5 N 5 25.0
## 570 9 N 16093 5 N 5 24.4
## 571 9 N 16093 5 N 5 24.4
## 572 9 N 12875 5 N 5 23.9
## 573 9 N 16093 5 N 5 26.1
## 574 9 N 16093 5 N 5 27.8
## 575 9 N 16093 5 N 5 30.6
## 576 9 N 16093 5 N 5 32.2
## 577 9 N 16093 5 N 5 33.9
## 578 9 N 16093 5 N 5 35.6
## 579 9 N 16093 5 N 5 36.1
## 580 9 N 16093 5 N 5 37.8
## 581 9 N 16093 5 N 5 38.3
## 582 9 N 16093 5 N 5 38.3
## 583 9 N 16093 5 N 5 37.2
## 584 9 N 16093 5 N 5 35.0
## 585 9 N 16093 5 N 5 33.3
## 586 9 N 16093 5 N 5 32.2
## 587 9 N 16093 5 N 5 31.1
## 588 9 N 16093 5 N 5 30.6
## 589 9 N 16093 5 N 5 29.4
## 590 9 N 16093 5 N 5 29.4
## 591 9 N 16093 5 N 5 28.9
## 592 9 N 16093 5 N 5 27.8
## 593 9 N 16093 5 N 5 27.8
## 594 9 N 16093 5 N 5 27.2
## 595 9 N 16093 5 N 5 25.6
## 596 9 N 14484 5 N 5 25.6
## 597 9 N 12875 5 N 5 27.2
## 598 9 N 16093 5 N 5 30.0
## 599 9 N 16093 5 N 5 32.2
## 600 9 N 16093 5 N 5 34.4
## 601 9 N 16093 5 N 5 36.1
## 602 9 N 16093 5 N 5 37.2
## 603 9 N 16093 5 N 5 37.8
## 604 9 N 16093 5 N 5 38.9
## 605 9 N 16093 5 N 5 38.9
## 606 9 N 16093 5 N 5 38.9
## 607 9 N 16093 5 N 5 37.8
## 608 9 N 16093 5 N 5 36.7
## 609 9 N 16093 5 N 5 33.9
## 610 9 N 16093 5 N 5 33.3
## 611 9 N 16093 5 N 5 32.8
## 612 9 N 16093 5 N 5 31.7
## 613 9 N 16093 5 N 5 31.1
## 614 9 N 16093 5 N 5 30.0
## 615 9 N 16093 5 N 5 28.9
## 616 9 N 16093 5 N 5 27.8
## 617 9 N 16093 5 N 5 28.3
## 618 9 N 16093 5 N 5 28.3
## 619 9 N 16093 5 N 5 27.8
## 620 9 N 16093 5 N 5 27.8
## 621 9 N 12875 5 N 5 27.2
## 622 9 N 16093 5 N 5 31.7
## 623 9 N 16093 5 N 5 34.4
## 624 9 N 16093 5 N 5 35.6
## 625 9 N 16093 5 N 5 37.8
## 626 9 N 16093 5 N 5 38.3
## 627 9 N 16093 5 N 5 39.4
## 628 9 N 16093 5 N 5 40.6
## 629 9 N 14484 5 N 5 41.1
## 630 9 N 16093 5 N 5 40.0
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## 2829 9 N 16093 5 N 5 24.0
## 2830 9 N 16093 5 N 5 26.0
## 2831 9 N 16093 5 N 5 27.0
## 2832 9 N 16093 5 N 5 28.0
## 2833 9 N 16093 5 N 5 28.0
## 2834 9 N 16093 5 N 5 29.0
## 2835 9 N 16093 5 N 5 29.0
## 2836 9 N 16093 5 N 5 30.0
## 2837 9 N 16093 5 N 5 31.0
## 2838 9 N 16093 5 N 5 32.0
## 2839 9 N 16093 5 N 5 33.0
## 2840 9 N 16093 5 N 5 34.0
## 2841 9 N 16093 5 N 5 34.0
## 2842 9 N 16093 5 N 5 34.0
## 2843 9 N 16093 5 N 5 36.0
## 2844 9 N 16093 5 N 5 36.0
## 2845 9 N 16093 5 N 5 37.0
## 2846 9 N 16093 5 N 5 38.0
## 2847 9 N 16093 5 N 5 38.0
## 2848 9 N 16093 5 N 5 38.0
## 2849 9 N 16093 5 N 5 39.0
## 2850 9 N 16093 5 N 5 39.0
## 2851 9 N 16093 5 N 5 39.0
## 2852 9 N 16093 5 N 5 39.0
## 2853 9 N 16093 5 N 5 39.0
## 2854 9 N 16093 5 N 5 39.0
## 2855 9 N 16093 5 N 5 39.0
## 2856 9 N 16093 5 N 5 39.0
## 2857 9 N 16093 5 N 5 37.0
## temp.qc dew.point dew.point.qc atm.press.x atm.press.qc rh CTRY
## 1 5 10.6 5 1009.9 5 19.881266 US
## 2 5 10.6 5 1010.3 5 21.760980 US
## 3 5 7.2 5 1010.6 5 18.482122 US
## 4 5 5.0 5 1011.6 5 16.888622 US
## 5 5 5.0 5 1012.7 5 17.384101 US
## 6 5 5.6 5 1012.7 5 20.015403 US
## 7 5 6.1 5 1012.8 5 22.899111 US
## 8 5 6.7 5 1012.8 5 24.585783 US
## 9 5 7.8 5 1012.5 5 29.329834 US
## 10 5 7.8 5 1012.7 5 30.218128 US
## 11 1 8.3 1 1012.8 1 31.265631 US
## 12 1 9.4 1 1013.0 1 35.975075 US
## 13 5 6.7 5 1013.6 5 29.933337 US
## 14 5 5.6 5 1014.6 5 27.739048 US
## 15 5 5.6 5 1015.0 5 24.314684 US
## 16 5 5.0 5 1015.0 5 19.761503 US
## 17 5 8.3 5 1014.8 5 21.233582 US
## 18 5 6.1 5 1014.6 5 15.987941 US
## 19 5 5.0 5 1014.1 5 13.514488 US
## 20 5 4.4 5 1013.3 5 12.172839 US
## 21 5 5.0 5 1012.2 5 11.942026 US
## 22 5 5.0 5 1011.5 5 11.548719 US
## 23 5 2.2 5 1010.8 5 9.448417 US
## 24 5 2.2 5 1010.3 5 9.448417 US
## 25 5 1.1 5 1010.0 5 9.018086 US
## 26 5 2.2 5 1010.2 5 10.692597 US
## 27 5 2.8 5 1010.5 5 12.297689 US
## 28 5 3.3 5 1011.3 5 13.574356 US
## 29 5 3.3 5 1012.0 5 14.970654 US
## 30 5 3.3 5 1012.0 5 16.429419 US
## 31 5 2.8 5 1012.3 5 18.692471 US
## 32 5 2.2 5 1012.0 5 16.194718 US
## 33 5 2.2 5 1011.9 5 18.555912 US
## 34 5 1.1 5 1011.9 5 17.658846 US
## 35 5 0.6 5 1012.3 5 17.652129 US
## 36 5 0.0 5 1012.6 5 16.298426 US
## 37 5 -0.6 5 1013.3 5 16.661631 US
## 38 5 -1.1 5 1013.8 5 15.582018 US
## 39 5 -1.1 5 1014.2 5 13.661815 US
## 40 5 -1.1 5 1014.3 5 11.927266 US
## 41 5 -1.7 5 1014.2 5 9.745521 US
## 42 5 -1.7 5 1013.7 5 8.836645 US
## 43 5 -0.6 5 1013.3 5 9.268949 US
## 44 5 1.7 5 1012.7 5 10.024057 US
## 45 5 2.2 5 1011.9 5 9.771249 US
## 46 5 2.8 5 1011.1 5 9.543085 US
## 47 5 3.3 5 1010.0 5 10.229811 US
## 48 5 2.2 5 1009.4 5 9.137202 US
## 49 5 1.1 5 1009.1 5 9.018086 US
## 50 5 3.3 5 1009.3 5 11.575062 US
## 51 5 4.4 5 1009.8 5 14.185339 US
## 52 5 4.4 5 1010.3 5 15.194316 US
## 53 5 5.0 5 1011.0 5 16.314349 US
## 54 5 3.9 5 1011.1 5 16.653850 US
## 55 5 5.0 5 1011.7 5 19.191487 US
## 56 5 5.0 5 1011.6 5 21.206662 US
## 57 5 3.3 5 1011.2 5 18.151798 US
## 58 5 3.3 5 1011.2 5 19.371138 US
## 59 5 2.8 5 1011.2 5 19.370907 US
## 60 5 2.8 5 1011.3 5 19.956889 US
## 61 5 2.2 5 1011.8 5 19.816346 US
## 62 5 2.2 5 1012.1 5 19.816346 US
## 63 5 2.2 5 1012.5 5 16.194718 US
## 64 5 1.7 5 1012.4 5 14.223592 US
## 65 5 0.6 5 1012.2 5 11.163048 US
## 66 5 -0.6 5 1011.7 5 9.268949 US
## 67 5 0.0 5 1011.0 5 8.553659 US
## 68 5 1.1 5 1010.4 5 8.719755 US
## 69 5 1.7 5 1009.7 5 8.287777 US
## 70 5 3.3 5 1009.0 5 9.307303 US
## 71 5 0.6 5 1008.4 5 7.644850 US
## 72 5 0.6 5 1008.0 5 7.644850 US
## 73 5 1.1 5 1008.0 5 8.432171 US
## 74 5 2.8 5 1008.1 5 10.495198 US
## 75 5 4.4 5 1008.5 5 12.952344 US
## 76 5 5.0 5 1009.3 5 14.800107 US
## 77 5 5.0 5 1010.0 5 15.852098 US
## 78 5 1.7 5 1010.3 5 13.342453 US
## 79 5 0.0 5 1010.6 5 12.937092 US
## 80 5 -4.4 5 1010.7 5 9.634335 US
## 81 5 -1.7 5 1010.5 5 12.608963 US
## 82 5 0.0 5 1010.6 5 15.262722 US
## 83 5 0.0 5 1010.9 5 15.818417 US
## 84 5 -0.6 5 1011.2 5 15.136144 US
## 85 5 -1.1 5 1011.9 5 15.582018 US
## 86 5 -1.1 5 1012.4 5 15.030609 US
## 87 5 -1.7 5 1012.6 5 13.066083 US
## 88 5 -2.8 5 1012.5 5 9.563363 US
## 89 5 -4.4 5 1012.4 5 7.408629 US
## 90 5 -4.4 5 1012.2 5 6.530545 US
## 91 5 -1.7 5 1011.9 5 7.535022 US
## 92 5 2.2 5 1011.4 5 9.771249 US
## 93 5 2.8 5 1010.7 5 9.281328 US
## 94 5 4.4 5 1010.1 5 10.070361 US
## 95 5 3.9 5 1009.3 5 9.716989 US
## 96 5 3.9 5 1008.9 5 10.045387 US
## 97 5 2.8 5 1008.6 5 9.281328 US
## 98 5 2.8 5 1008.7 5 10.204816 US
## 99 5 3.3 5 1009.0 5 11.974697 US
## 100 5 2.8 5 1009.5 5 12.653858 US
## 101 5 1.1 5 1010.4 5 11.187086 US
## 102 5 1.7 5 1010.7 5 13.735339 US
## 103 5 2.2 5 1011.1 5 14.746797 US
## 104 5 2.8 5 1011.1 5 17.515237 US
## 105 5 3.3 5 1011.0 5 20.073823 US
## 106 5 3.3 5 1011.0 5 20.073823 US
## 107 5 3.3 5 1011.0 5 20.073823 US
## 108 5 2.8 5 1011.2 5 19.370907 US
## 109 5 2.2 5 1011.7 5 19.816346 US
## 110 5 2.2 5 1012.1 5 19.117607 US
## 111 5 3.3 5 1012.8 5 20.073823 US
## 112 5 1.7 5 1012.9 5 13.735339 US
## 113 5 0.0 5 1012.7 5 9.690076 US
## 114 5 -1.1 5 1012.4 5 8.153667 US
## 115 5 -2.2 5 1011.5 5 6.594276 US
## 116 5 -1.1 5 1010.9 5 6.966068 US
## 117 9 NA 9 NA 9 NA US
## 118 5 -1.1 5 1009.1 5 6.165304 US
## 119 5 -1.7 5 1008.4 5 5.893024 US
## 120 5 0.0 5 1008.0 5 6.693179 US
## 121 5 0.0 5 1007.9 5 7.112768 US
## 122 5 0.0 5 1008.0 5 7.775207 US
## 123 5 0.0 5 1008.5 5 8.553659 US
## 124 5 1.1 5 1009.0 5 9.869570 US
## 125 5 1.7 5 1009.6 5 11.357445 US
## 126 5 1.1 5 1009.9 5 11.985871 US
## 127 5 0.0 5 1009.9 5 11.057129 US
## 128 5 -1.7 5 1009.8 5 10.694907 US
## 129 5 -2.2 5 NA 9 10.669540 US
## 130 5 -2.8 5 1009.5 5 10.502138 US
## 131 5 -3.3 5 1009.5 5 10.476259 US
## 132 5 -3.3 5 1009.5 5 10.476259 US
## 133 5 -2.8 5 1010.1 5 12.032722 US
## 134 5 -2.2 5 1011.3 5 11.722705 US
## 135 5 -1.1 5 1012.4 5 13.184181 US
## 136 5 -1.7 5 1013.1 5 12.169275 US
## 137 5 0.0 5 1013.4 5 11.784324 US
## 138 5 10.6 5 1013.6 5 25.536619 US
## 139 5 8.3 5 1013.3 5 20.514010 US
## 140 5 8.3 5 1012.4 5 18.095342 US
## 141 5 8.3 5 1011.8 5 17.491193 US
## 142 5 8.3 5 1010.7 5 16.440123 US
## 143 5 7.8 5 1009.8 5 15.884156 US
## 144 5 7.2 5 1009.1 5 13.932694 US
## 145 5 7.2 5 1008.6 5 14.327181 US
## 146 5 7.8 5 1008.8 5 15.884156 US
## 147 5 7.2 5 1009.5 5 16.214196 US
## 148 5 7.2 5 1010.2 5 17.858775 US
## 149 5 8.9 5 1010.6 5 21.371544 US
## 150 5 9.4 5 1011.0 5 23.552930 US
## 151 5 10.6 5 1011.0 5 26.435805 US
## 152 5 11.1 5 1010.7 5 28.136515 US
## 153 9 NA 9 NA 9 NA US
## 154 5 11.7 5 1010.3 5 33.480368 US
## 155 5 12.2 5 1010.4 5 33.412006 US
## 156 5 10.6 5 1010.7 5 33.198689 US
## 157 5 9.4 5 1010.7 5 29.563479 US
## 158 5 12.2 5 1011.1 5 38.023328 US
## 159 5 11.1 5 1011.6 5 33.131441 US
## 160 5 7.8 5 1011.7 5 23.997597 US
## 161 5 9.4 5 1011.9 5 22.884627 US
## 162 5 11.1 5 1011.7 5 24.092156 US
## 163 5 11.1 5 1011.5 5 23.282748 US
## 164 5 10.6 5 1011.2 5 20.448835 US
## 165 5 12.0 5 NA 9 22.080053 US
## 166 5 11.7 5 1010.7 5 21.401515 US
## 167 5 8.3 5 1010.3 5 15.985387 US
## 168 5 8.9 5 1009.7 5 16.656183 US
## 169 5 7.8 5 1009.2 5 15.884156 US
## 170 5 6.7 5 1008.6 5 14.310787 US
## 171 5 6.7 5 1008.4 5 15.224817 US
## 172 5 6.7 5 1008.6 5 16.203110 US
## 173 5 7.8 5 1009.3 5 19.822553 US
## 174 5 8.3 5 1010.2 5 21.854365 US
## 175 5 10.6 5 1010.9 5 28.175808 US
## 176 5 11.7 5 1011.0 5 32.325091 US
## 177 5 12.8 5 1011.1 5 35.999359 US
## 178 5 11.7 5 1010.8 5 35.717801 US
## 179 9 NA 9 NA 9 NA US
## 180 5 8.9 5 1010.4 5 32.564464 US
## 181 5 10.0 5 1010.5 5 36.348432 US
## 182 5 10.6 5 1010.6 5 37.835762 US
## 183 5 5.6 5 1010.5 5 25.965080 US
## 184 5 5.0 5 1011.2 5 27.584532 US
## 185 5 5.6 5 1011.6 5 26.916752 US
## 186 5 6.1 5 1012.3 5 26.091087 US
## 187 5 6.7 5 1012.4 5 22.247177 US
## 188 5 6.7 5 1012.1 5 19.018247 US
## 189 5 10.6 5 1011.8 5 22.515359 US
## 190 5 9.4 5 1011.3 5 18.855340 US
## 191 5 8.9 5 1010.5 5 18.224153 US
## 192 5 6.7 5 1009.4 5 14.310787 US
## 193 5 8.9 5 1008.5 5 17.129700 US
## 194 5 2.8 5 1007.7 5 10.204816 US
## 195 5 1.7 5 1007.4 5 9.690811 US
## 196 5 1.7 5 1007.2 5 10.024057 US
## 197 5 2.8 5 1007.2 5 11.884687 US
## 198 5 3.3 5 1007.9 5 14.050190 US
## 199 5 2.8 5 1008.8 5 14.868923 US
## 200 5 2.2 5 1009.6 5 15.726194 US
## 201 5 2.2 5 1010.1 5 16.194718 US
## 202 5 3.3 5 1010.2 5 20.073823 US
## 203 5 2.8 5 1010.1 5 20.685826 US
## 204 5 1.7 5 1009.8 5 20.424047 US
## 205 5 -0.6 5 1009.9 5 18.469059 US
## 206 5 -1.1 5 1009.8 5 17.801475 US
## 207 1 -0.6 1 1010.0 1 19.752422 US
## 208 5 1.1 5 1010.7 5 23.192518 US
## 209 5 1.1 5 1011.8 5 24.817655 US
## 210 5 1.7 5 1012.3 5 22.641820 US
## 211 5 1.7 5 1012.1 5 17.899831 US
## 212 5 1.7 5 1012.0 5 15.168784 US
## 213 5 -1.1 5 1011.5 5 10.491273 US
## 214 5 -2.2 5 1011.0 5 9.386643 US
## 215 5 -3.9 5 1010.3 5 7.479895 US
## 216 5 -5.6 5 1009.6 5 6.337464 US
## 217 5 -8.9 5 1008.8 5 4.451996 US
## 218 5 -7.8 5 1008.4 5 5.178580 US
## 219 5 -8.9 5 1008.1 5 4.742044 US
## 220 5 -5.6 5 1007.9 5 6.337464 US
## 221 5 -2.8 5 1007.8 5 8.971297 US
## 222 5 -0.6 5 1008.0 5 12.020313 US
## 223 5 1.1 5 1008.9 5 14.955981 US
## 224 5 -1.1 5 1009.4 5 12.724751 US
## 225 5 -1.1 5 1009.3 5 14.074315 US
## 226 5 1.1 5 1010.1 5 18.863357 US
## 227 5 -0.6 5 1010.1 5 17.807741 US
## 228 5 0.0 5 1010.5 5 18.608409 US
## 229 5 0.0 5 1010.3 5 20.639114 US
## 230 5 0.0 5 1010.1 5 20.639114 US
## 231 5 0.0 5 1010.3 5 22.915051 US
## 232 5 0.0 5 1010.8 5 24.533542 US
## 233 5 -0.6 5 1011.3 5 21.134085 US
## 234 5 -0.6 5 1011.7 5 19.157359 US
## 235 5 -1.1 5 1011.7 5 15.030609 US
## 236 5 -3.9 5 1011.6 5 10.309746 US
## 237 5 -7.8 5 1011.5 5 7.135928 US
## 238 5 -10.6 5 1011.3 5 5.184618 US
## 239 5 -10.0 5 1010.5 5 5.103748 US
## 240 5 -8.9 5 1009.7 5 5.052812 US
## 241 5 -8.9 5 1009.1 5 5.052812 US
## 242 5 -11.7 5 1008.4 5 3.883587 US
## 243 5 -9.4 5 1008.3 5 4.687716 US
## 244 5 -6.1 5 1008.2 5 6.723330 US
## 245 5 0.0 5 1008.3 5 11.784324 US
## 246 5 5.0 5 1008.9 5 19.191487 US
## 247 5 5.0 5 1009.5 5 21.206662 US
## 248 5 3.9 5 1010.6 5 20.946703 US
## 249 5 2.2 5 1010.9 5 19.117607 US
## 250 5 2.8 5 1011.2 5 22.099133 US
## 251 5 1.7 5 1011.3 5 21.050563 US
## 252 5 3.3 5 1011.3 5 24.473412 US
## 253 5 4.4 5 1011.4 5 28.276991 US
## 254 5 6.1 5 1011.6 5 31.831476 US
## 255 5 7.2 5 1012.2 5 34.334429 US
## 256 5 7.8 5 1012.9 5 39.682832 US
## 257 5 8.9 5 1013.4 5 41.210885 US
## 258 5 8.9 5 1014.0 5 38.541589 US
## 259 5 7.8 5 1014.3 5 31.323227 US
## 260 5 6.1 5 1014.3 5 23.585059 US
## 261 5 4.4 5 1014.0 5 18.944185 US
## 262 5 2.2 5 1013.4 5 15.183446 US
## 263 5 0.6 5 1012.6 5 12.315013 US
## 264 5 -0.6 5 1011.7 5 10.577589 US
## 265 5 -0.6 5 1010.9 5 9.871295 US
## 266 1 -2.8 1 1010.3 1 7.858592 US
## 267 1 -3.3 1 1009.7 1 7.565613 US
## 268 1 -3.3 1 1009.5 1 7.830488 US
## 269 1 -3.3 1 1009.6 1 8.058958 US
## 270 1 -1.1 1 1010.1 1 11.184108 US
## 271 1 1.1 1 1010.8 1 14.955981 US
## 272 1 1.7 1 1011.3 1 15.620955 US
## 273 1 1.7 1 1011.4 1 17.899831 US
## 274 1 2.2 1 1011.8 1 19.117607 US
## 275 1 5.0 1 1011.9 1 24.900269 US
## 276 1 7.2 1 1011.9 1 30.063011 US
## 277 1 8.3 1 1012.0 1 33.395874 US
## 278 1 8.9 1 1012.3 1 37.391485 US
## 279 1 8.3 1 1012.7 1 37.007926 US
## 280 1 7.8 1 1013.4 1 38.251005 US
## 281 1 8.3 1 1013.9 1 38.383386 US
## 282 1 7.8 1 1014.2 1 31.323227 US
## 283 1 7.2 1 1014.1 1 27.161206 US
## 284 1 6.1 1 1014.2 1 21.340335 US
## 285 1 5.0 1 1014.2 1 16.314349 US
## 286 1 4.4 1 1013.7 1 14.680347 US
## 287 1 5.0 1 1013.1 1 14.384531 US
## 288 5 5.0 5 1012.3 5 13.902610 US
## 289 5 4.4 5 1011.4 5 12.520608 US
## 290 5 0.6 5 1010.7 5 9.248761 US
## 291 5 1.7 5 1010.2 5 10.311338 US
## 292 5 4.4 5 1009.9 5 12.952344 US
## 293 1 2.8 1 1010.0 1 12.297689 US
## 294 1 3.9 1 1010.2 1 15.092677 US
## 295 5 5.0 5 1011.0 5 17.999788 US
## 296 1 5.6 1 1011.7 1 20.015403 US
## 297 5 6.7 5 1012.1 5 22.247177 US
## 298 5 6.7 5 1012.4 5 25.474437 US
## 299 5 6.7 5 1012.6 5 25.474437 US
## 300 5 4.4 5 1012.3 5 23.873865 US
## 301 5 5.0 5 1012.5 5 26.602556 US
## 302 5 6.7 5 1012.6 5 29.933337 US
## 303 5 6.7 5 1012.7 5 33.176157 US
## 304 1 5.0 1 1013.2 1 29.489658 US
## 305 5 5.0 5 1014.0 5 28.606382 US
## 306 5 6.1 5 1014.3 5 26.882644 US
## 307 5 5.6 5 1014.5 5 22.115710 US
## 308 5 4.4 5 1014.7 5 16.663745 US
## 309 5 6.7 5 1014.6 5 17.250617 US
## 310 5 6.7 5 1014.2 5 16.203110 US
## 311 5 5.0 5 1013.4 5 13.064309 US
## 312 5 1.7 5 1012.7 5 9.690811 US
## 313 5 2.8 5 1011.7 5 10.204816 US
## 314 5 1.1 5 1010.8 5 8.719755 US
## 315 5 -1.7 5 1010.5 5 6.847896 US
## 316 5 2.2 5 1010.3 5 9.771249 US
## 317 5 1.1 5 1010.5 5 9.869570 US
## 318 5 1.1 5 1011.0 5 11.187086 US
## 319 5 3.3 5 1011.6 5 14.460671 US
## 320 5 3.3 5 1012.2 5 15.410687 US
## 321 5 2.8 5 1012.8 5 15.396812 US
## 322 5 2.8 5 1013.0 5 16.907507 US
## 323 5 2.2 5 1013.3 5 17.905606 US
## 324 5 3.3 5 1013.2 5 21.435709 US
## 325 5 4.4 5 1013.1 5 24.749979 US
## 326 5 3.9 5 1013.1 5 24.624433 US
## 327 5 2.8 5 1013.2 5 22.776229 US
## 328 5 1.7 5 1013.7 5 22.641820 US
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## 330 5 2.8 5 1014.7 5 19.956889 US
## 331 5 2.8 5 1014.7 5 16.907507 US
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## 342 5 -1.7 5 1011.0 5 8.538321 US
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## 345 5 -0.6 5 1012.4 5 12.377385 US
## 346 5 -1.7 5 1012.5 5 12.169275 US
## 347 5 -1.1 5 1012.3 5 13.184181 US
## 348 9 NA 9 NA 9 NA US
## 349 5 -0.6 5 1012.2 5 14.604062 US
## 350 5 -0.6 5 1012.1 5 14.604062 US
## 351 5 -0.6 5 1012.3 5 16.661631 US
## 352 5 -1.1 5 1012.5 5 15.582018 US
## 353 1 -2.2 1 1013.1 1 15.818125 US
## 354 5 -3.3 5 1013.6 5 14.565763 US
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## 358 5 -7.8 5 1013.2 5 5.003374 US
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## 361 5 -12.2 5 1010.8 5 2.720630 US
## 362 5 -11.7 5 1009.7 5 2.836594 US
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## 370 5 -10.6 5 1009.9 5 5.906070 US
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## 372 5 -8.3 5 1009.6 5 7.106608 US
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## 374 5 -7.8 5 1009.5 5 9.009841 US
## 375 5 -6.1 5 1009.4 5 10.291331 US
## 376 5 -6.1 5 1009.8 5 10.999421 US
## 377 5 -6.1 5 1010.3 5 11.407968 US
## 378 5 -6.1 5 1010.9 5 11.407968 US
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## 380 5 -3.9 5 1011.5 5 10.009385 US
## 381 5 -1.7 5 1011.4 5 9.413580 US
## 382 5 -4.4 5 1011.1 5 6.758171 US
## 383 5 -7.2 5 1010.4 5 4.790247 US
## 384 5 -9.4 5 1009.3 5 3.880803 US
## 385 5 -7.2 5 1008.6 5 4.790247 US
## 386 5 -7.2 5 1007.8 5 4.475775 US
## 387 5 -7.2 5 1006.8 5 4.351448 US
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## 770 5 19.0 5 NA 9 61.637697 US
## 771 5 19.0 5 NA 9 61.637697 US
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## 776 5 19.0 5 NA 9 65.398965 US
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## 782 5 19.0 5 NA 9 78.281834 US
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## 786 5 19.0 5 NA 9 78.281834 US
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## 789 5 20.0 5 NA 9 83.282245 US
## 790 1 20.0 1 NA 9 83.282245 US
## 791 5 21.0 5 NA 9 78.542699 US
## 792 5 20.0 5 NA 9 65.587542 US
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## 795 5 18.0 5 NA 9 51.477207 US
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## 1871 5 19.0 5 NA 9 65.398965 US
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## 1905 5 16.0 5 NA 9 25.660958 US
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## 1908 5 17.0 5 NA 9 24.509922 US
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## 1910 5 17.0 5 NA 9 25.893239 US
## 1911 5 17.0 5 NA 9 25.893239 US
## 1912 C 17.0 C NA 9 25.893239 US
## 1913 5 17.0 5 NA 9 25.893239 US
## 1914 5 17.0 5 NA 9 25.893239 US
## 1915 C 17.0 C NA 9 27.362583 US
## 1916 5 17.0 5 NA 9 27.362583 US
## 1917 5 17.0 5 NA 9 28.923820 US
## 1918 C 18.0 C NA 9 30.824487 US
## 1919 5 18.0 5 NA 9 32.591315 US
## 1920 5 18.0 5 NA 9 32.591315 US
## 1921 C 18.0 C NA 9 34.469822 US
## 1922 5 18.0 5 NA 9 36.467752 US
## 1923 5 18.0 5 NA 9 36.467752 US
## 1924 C 18.0 C NA 9 38.593436 US
## 1925 5 18.0 5 NA 9 38.593436 US
## 1926 5 18.0 5 NA 9 38.593436 US
## 1927 C 18.0 C NA 9 40.855837 US
## 1928 5 18.0 5 NA 9 43.264610 US
## 1929 5 18.0 5 NA 9 43.264610 US
## 1930 C 18.0 C NA 9 43.264610 US
## 1931 5 18.0 5 NA 9 45.830148 US
## 1932 5 18.0 5 NA 9 45.830148 US
## 1933 C 18.0 C NA 9 48.563655 US
## 1934 5 18.0 5 NA 9 45.830148 US
## 1935 5 18.0 5 NA 9 45.830148 US
## 1936 C 19.0 C NA 9 48.800317 US
## 1937 9 NA 9 NA 9 NA US
## 1938 5 19.0 5 NA 9 51.708430 US
## 1939 5 19.0 5 NA 9 51.708430 US
## 1940 C 19.0 C NA 9 54.807956 US
## 1941 5 19.0 5 NA 9 54.807956 US
## 1942 5 19.0 5 NA 9 54.807956 US
## 1943 C 19.0 C NA 9 58.112734 US
## 1944 5 19.0 5 NA 9 58.112734 US
## 1945 5 19.0 5 NA 9 58.112734 US
## 1946 C 19.0 C NA 9 58.112734 US
## 1947 5 19.0 5 NA 9 61.637697 US
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## 1953 5 21.0 5 NA 9 74.006764 US
## 1954 5 21.0 5 NA 9 78.542699 US
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## 1956 5 21.0 5 NA 9 83.386117 US
## 1957 5 21.0 5 NA 9 83.386117 US
## 1958 C 22.0 C NA 9 78.670807 US
## 1959 5 22.0 5 NA 9 74.156797 US
## 1960 5 22.0 5 NA 9 69.925856 US
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## 1969 5 19.0 5 NA 9 38.838842 US
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## 1971 5 19.0 5 NA 9 36.712831 US
## 1972 5 19.0 5 NA 9 34.713813 US
## 1973 C 19.0 C NA 9 34.713813 US
## 1974 5 18.0 5 NA 9 32.591315 US
## 1975 5 19.0 5 NA 9 32.833555 US
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## 1977 5 18.0 5 NA 9 29.162135 US
## 1978 5 18.0 5 NA 9 29.162135 US
## 1979 C 18.0 C NA 9 29.162135 US
## 1980 5 18.0 5 NA 9 27.597557 US
## 1981 5 17.0 5 NA 9 25.893239 US
## 1982 C 17.0 C NA 9 28.923820 US
## 1983 5 17.0 5 NA 9 27.362583 US
## 1984 5 17.0 5 NA 9 25.893239 US
## 1985 C 17.0 C NA 9 28.923820 US
## 1986 5 16.0 5 NA 9 27.126501 US
## 1987 5 17.0 5 NA 9 27.362583 US
## 1988 C 16.0 C NA 9 25.660958 US
## 1989 5 16.0 5 NA 9 25.660958 US
## 1990 5 16.0 5 NA 9 25.660958 US
## 1991 C 16.0 C NA 9 27.126501 US
## 1992 5 16.0 5 NA 9 28.684291 US
## 1993 5 16.0 5 NA 9 28.684291 US
## 1994 C 16.0 C NA 9 30.340693 US
## 1995 5 16.0 5 NA 9 30.340693 US
## 1996 5 17.0 5 NA 9 34.224302 US
## 1997 C 17.0 C NA 9 36.221040 US
## 1998 5 17.0 5 NA 9 36.221040 US
## 1999 5 17.0 5 NA 9 36.221040 US
## 2000 C 17.0 C NA 9 38.346296 US
## 2001 5 17.0 5 NA 9 38.346296 US
## 2002 5 18.0 5 NA 9 40.855837 US
## 2003 C 18.0 C NA 9 43.264610 US
## 2004 5 19.0 5 NA 9 46.070783 US
## 2005 5 20.0 5 NA 9 51.937570 US
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## 2007 5 22.0 5 NA 9 58.745615 US
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## 2010 9 NA 9 NA 9 NA US
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## 2013 C 23.0 C NA 9 70.092752 US
## 2014 5 22.0 5 NA 9 69.925856 US
## 2015 5 22.0 5 NA 9 69.925856 US
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## 2017 5 22.0 5 NA 9 74.156797 US
## 2018 5 22.0 5 NA 9 74.156797 US
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## 2666 C 24.0 C NA 9 66.322079 US
## 2667 9 NA 9 NA 9 NA US
## 2668 5 24.0 5 NA 9 70.257829 US
## 2669 5 24.0 5 NA 9 74.451768 US
## 2670 C 24.0 C NA 9 74.451768 US
## 2671 5 24.0 5 NA 9 74.451768 US
## 2672 5 24.0 5 NA 9 78.922513 US
## 2673 C 23.0 C NA 9 74.305122 US
## 2674 5 23.0 5 NA 9 74.305122 US
## 2675 5 23.0 5 NA 9 74.305122 US
## 2676 C 23.0 C NA 9 74.305122 US
## 2677 5 24.0 5 NA 9 78.922513 US
## 2678 5 23.0 5 NA 9 78.797403 US
## 2679 C 23.0 C NA 9 78.797403 US
## 2680 5 23.0 5 NA 9 78.797403 US
## 2681 5 23.0 5 NA 9 78.797403 US
## 2682 C 23.0 C NA 9 78.797403 US
## 2683 5 23.0 5 NA 9 78.797403 US
## 2684 5 23.0 5 NA 9 78.797403 US
## 2685 C 23.0 C NA 9 83.590046 US
## 2686 5 23.0 5 NA 9 83.590046 US
## 2687 5 23.0 5 NA 9 83.590046 US
## 2688 C 23.0 C NA 9 83.590046 US
## 2689 5 23.0 5 NA 9 78.797403 US
## 2690 5 23.0 5 NA 9 78.797403 US
## 2691 C 23.0 C NA 9 78.797403 US
## 2692 5 23.0 5 NA 9 74.305122 US
## 2693 5 23.0 5 NA 9 74.305122 US
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## 2695 5 23.0 5 NA 9 70.092752 US
## 2696 5 23.0 5 NA 9 66.141349 US
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## 2698 5 23.0 5 NA 9 62.433351 US
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## 2700 C 23.0 C NA 9 62.433351 US
## 2701 5 23.0 5 NA 9 62.433351 US
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## 2704 5 22.0 5 NA 9 55.467771 US
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## 2713 5 18.0 5 NA 9 45.830148 US
## 2714 5 18.0 5 NA 9 45.830148 US
## 2715 C 17.0 C NA 9 43.019378 US
## 2716 5 16.0 5 NA 9 40.360616 US
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## 2718 C 16.0 C NA 9 40.360616 US
## 2719 5 16.0 5 NA 9 40.360616 US
## 2720 5 20.0 5 NA 9 51.937570 US
## 2721 C 21.0 C NA 9 55.249900 US
## 2722 5 21.0 5 NA 9 55.249900 US
## 2723 5 21.0 5 NA 9 55.249900 US
## 2724 C 21.0 C NA 9 58.536724 US
## 2725 5 21.0 5 NA 9 58.536724 US
## 2726 5 20.0 5 NA 9 58.325774 US
## 2727 C 18.0 C NA 9 54.583829 US
## 2728 5 18.0 5 NA 9 57.897576 US
## 2729 5 19.0 5 NA 9 65.398965 US
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## 2731 5 20.0 5 NA 9 78.413050 US
## 2732 5 20.0 5 NA 9 78.413050 US
## 2733 C 20.0 C NA 9 78.413050 US
## 2734 5 20.0 5 NA 9 78.413050 US
## 2735 5 20.0 5 NA 9 78.413050 US
## 2736 C 20.0 C NA 9 78.413050 US
## 2737 5 20.0 5 NA 9 78.413050 US
## 2738 5 20.0 5 NA 9 78.413050 US
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## 2743 C 20.0 C NA 9 83.282245 US
## 2744 5 20.0 5 NA 9 83.282245 US
## 2745 5 21.0 5 NA 9 88.559941 US
## 2746 C 21.0 C NA 9 88.559941 US
## 2747 5 21.0 5 NA 9 88.559941 US
## 2748 5 21.0 5 NA 9 88.559941 US
## 2749 C 21.0 C NA 9 88.559941 US
## 2750 5 21.0 5 NA 9 88.559941 US
## 2751 5 20.0 5 NA 9 88.485938 US
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## 2753 5 20.0 5 NA 9 88.485938 US
## 2754 5 21.0 5 NA 9 94.088960 US
## 2755 C 20.0 C NA 9 88.485938 US
## 2756 5 20.0 5 NA 9 88.485938 US
## 2757 5 20.0 5 NA 9 88.485938 US
## 2758 C 20.0 C NA 9 88.485938 US
## 2759 5 20.0 5 NA 9 88.485938 US
## 2760 5 21.0 5 NA 9 94.088960 US
## 2761 C 21.0 C NA 9 94.088960 US
## 2762 5 21.0 5 NA 9 88.559941 US
## 2763 5 21.0 5 NA 9 88.559941 US
## 2764 C 21.0 C NA 9 83.386117 US
## 2765 5 21.0 5 NA 9 78.542699 US
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## 2768 5 22.0 5 NA 9 65.958703 US
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## 2771 5 21.0 5 NA 9 58.536724 US
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## 2773 C 21.0 C NA 9 55.249900 US
## 2774 5 20.0 5 NA 9 49.034942 US
## 2775 5 20.0 5 NA 9 49.034942 US
## 2776 C 20.0 C NA 9 46.309445 US
## 2777 5 19.0 5 NA 9 43.507925 US
## 2778 5 18.0 5 NA 9 38.593436 US
## 2779 C 18.0 C NA 9 36.467752 US
## 2780 5 19.0 5 NA 9 41.100697 US
## 2781 5 19.0 5 NA 9 38.838842 US
## 2782 C 19.0 C NA 9 36.712831 US
## 2783 5 21.0 5 NA 9 43.988883 US
## 2784 5 21.0 5 NA 9 41.584996 US
## 2785 C 21.0 C NA 9 41.584996 US
## 2786 5 20.0 5 NA 9 39.082528 US
## 2787 5 21.0 5 NA 9 46.546155 US
## 2788 C 20.0 C NA 9 43.749344 US
## 2789 5 20.0 5 NA 9 41.343745 US
## 2790 5 18.0 5 NA 9 36.467752 US
## 2791 C 19.0 C NA 9 38.838842 US
## 2792 5 19.0 5 NA 9 36.712831 US
## 2793 5 19.0 5 NA 9 38.838842 US
## 2794 C 19.0 C NA 9 38.838842 US
## 2795 5 20.0 5 NA 9 46.309445 US
## 2796 5 22.0 5 NA 9 52.389698 US
## 2797 C 22.0 C NA 9 55.467771 US
## 2798 5 22.0 5 NA 9 58.745615 US
## 2799 5 23.0 5 NA 9 62.433351 US
## 2800 C 22.0 C NA 9 62.237475 US
## 2801 5 22.0 5 NA 9 65.958703 US
## 2802 5 22.0 5 NA 9 65.958703 US
## 2803 C 22.0 C NA 9 65.958703 US
## 2804 5 22.0 5 NA 9 65.958703 US
## 2805 5 22.0 5 NA 9 69.925856 US
## 2806 C 22.0 C NA 9 69.925856 US
## 2807 5 22.0 5 NA 9 69.925856 US
## 2808 5 22.0 5 NA 9 69.925856 US
## 2809 C 22.0 C NA 9 69.925856 US
## 2810 5 22.0 5 NA 9 74.156797 US
## 2811 9 NA 9 NA 9 NA US
## 2812 5 22.0 5 NA 9 78.670807 US
## 2813 5 21.0 5 NA 9 74.006764 US
## 2814 C 21.0 C NA 9 74.006764 US
## 2815 5 21.0 5 NA 9 78.542699 US
## 2816 5 21.0 5 NA 9 78.542699 US
## 2817 C 21.0 C NA 9 78.542699 US
## 2818 5 21.0 5 NA 9 78.542699 US
## 2819 5 21.0 5 NA 9 83.386117 US
## 2820 C 21.0 C NA 9 83.386117 US
## 2821 5 21.0 5 NA 9 88.559941 US
## 2822 5 21.0 5 NA 9 83.386117 US
## 2823 C 21.0 C NA 9 88.559941 US
## 2824 5 21.0 5 NA 9 83.386117 US
## 2825 5 21.0 5 NA 9 83.386117 US
## 2826 C 21.0 C NA 9 88.559941 US
## 2827 5 21.0 5 NA 9 88.559941 US
## 2828 5 21.0 5 NA 9 88.559941 US
## 2829 C 22.0 C NA 9 88.633000 US
## 2830 5 22.0 5 NA 9 78.670807 US
## 2831 5 22.0 5 NA 9 74.156797 US
## 2832 C 22.0 C NA 9 69.925856 US
## 2833 5 22.0 5 NA 9 69.925856 US
## 2834 5 22.0 5 NA 9 65.958703 US
## 2835 C 22.0 C NA 9 65.958703 US
## 2836 5 22.0 5 NA 9 62.237475 US
## 2837 5 21.0 5 NA 9 55.249900 US
## 2838 C 21.0 C NA 9 52.164650 US
## 2839 5 19.0 5 NA 9 43.507925 US
## 2840 5 19.0 5 NA 9 41.100697 US
## 2841 C 18.0 C NA 9 38.593436 US
## 2842 5 18.0 5 NA 9 38.593436 US
## 2843 5 17.0 5 NA 9 32.347651 US
## 2844 C 18.0 C NA 9 34.469822 US
## 2845 5 17.0 5 NA 9 30.583251 US
## 2846 5 17.0 5 NA 9 28.923820 US
## 2847 C 17.0 C NA 9 28.923820 US
## 2848 5 17.0 5 NA 9 28.923820 US
## 2849 5 17.0 5 NA 9 27.362583 US
## 2850 C 16.0 C NA 9 25.660958 US
## 2851 5 17.0 5 NA 9 27.362583 US
## 2852 5 17.0 5 NA 9 27.362583 US
## 2853 C 17.0 C NA 9 27.362583 US
## 2854 5 16.0 5 NA 9 25.660958 US
## 2855 5 16.0 5 NA 9 25.660958 US
## 2856 C 16.0 C NA 9 25.660958 US
## 2857 5 16.0 5 NA 9 28.684291 US
## STATE temp.y wind.sp.y atm.press.y
## 1 CA 21.1 2.6 1012.8
## 2 CA 21.1 2.6 1012.8
## 3 CA 21.1 2.6 1012.8
## 4 CA 21.1 2.6 1012.8
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## 14 CA 21.1 2.6 1012.8
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## 30 CA 21.1 2.6 1012.8
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## 96 CA 21.1 2.6 1012.8
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## 164 CA 21.1 2.6 1012.8
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## 170 CA 21.1 2.6 1012.8
## 171 CA 21.1 2.6 1012.8
## 172 CA 21.1 2.6 1012.8
## 173 CA 21.1 2.6 1012.8
## 174 CA 21.1 2.6 1012.8
## 175 CA 21.1 2.6 1012.8
## 176 CA 21.1 2.6 1012.8
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## 180 CA 21.1 2.6 1012.8
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## 187 CA 21.1 2.6 1012.8
## 188 CA 21.1 2.6 1012.8
## 189 CA 21.1 2.6 1012.8
## 190 CA 21.1 2.6 1012.8
## 191 CA 21.1 2.6 1012.8
## 192 CA 21.1 2.6 1012.8
## 193 CA 21.1 2.6 1012.8
## 194 CA 21.1 2.6 1012.8
## 195 CA 21.1 2.6 1012.8
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## 205 CA 21.1 2.6 1012.8
## 206 CA 21.1 2.6 1012.8
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## 235 CA 21.1 2.6 1012.8
## 236 CA 21.1 2.6 1012.8
## 237 CA 21.1 2.6 1012.8
## 238 CA 21.1 2.6 1012.8
## 239 CA 21.1 2.6 1012.8
## 240 CA 21.1 2.6 1012.8
## 241 CA 21.1 2.6 1012.8
## 242 CA 21.1 2.6 1012.8
## 243 CA 21.1 2.6 1012.8
## 244 CA 21.1 2.6 1012.8
## 245 CA 21.1 2.6 1012.8
## 246 CA 21.1 2.6 1012.8
## 247 CA 21.1 2.6 1012.8
## 248 CA 21.1 2.6 1012.8
## 249 CA 21.1 2.6 1012.8
## 250 CA 21.1 2.6 1012.8
## 251 CA 21.1 2.6 1012.8
## 252 CA 21.1 2.6 1012.8
## 253 CA 21.1 2.6 1012.8
## 254 CA 21.1 2.6 1012.8
## 255 CA 21.1 2.6 1012.8
## 256 CA 21.1 2.6 1012.8
## 257 CA 21.1 2.6 1012.8
## 258 CA 21.1 2.6 1012.8
## 259 CA 21.1 2.6 1012.8
## 260 CA 21.1 2.6 1012.8
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## 263 CA 21.1 2.6 1012.8
## 264 CA 21.1 2.6 1012.8
## 265 CA 21.1 2.6 1012.8
## 266 CA 21.1 2.6 1012.8
## 267 CA 21.1 2.6 1012.8
## 268 CA 21.1 2.6 1012.8
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## 270 CA 21.1 2.6 1012.8
## 271 CA 21.1 2.6 1012.8
## 272 CA 21.1 2.6 1012.8
## 273 CA 21.1 2.6 1012.8
## 274 CA 21.1 2.6 1012.8
## 275 CA 21.1 2.6 1012.8
## 276 CA 21.1 2.6 1012.8
## 277 CA 21.1 2.6 1012.8
## 278 CA 21.1 2.6 1012.8
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## 280 CA 21.1 2.6 1012.8
## 281 CA 21.1 2.6 1012.8
## 282 CA 21.1 2.6 1012.8
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## 290 CA 21.1 2.6 1012.8
## 291 CA 21.1 2.6 1012.8
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## 295 CA 21.1 2.6 1012.8
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## 297 CA 21.1 2.6 1012.8
## 298 CA 21.1 2.6 1012.8
## 299 CA 21.1 2.6 1012.8
## 300 CA 21.1 2.6 1012.8
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## 315 CA 21.1 2.6 1012.8
## 316 CA 21.1 2.6 1012.8
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## [ reached 'max' / getOption("max.print") -- omitted 2374486 rows ]euc_station <- merged %>% mutate(
distance = ((temp.x -merged$temp.y )^2 +
(wind.sp.x -merged$temp.y)^2 +
(atm.press.x -merged$temp.y)^2)^(1/2))
result <- euc_station %>%
group_by(STATE) %>%
slice(which.min(distance))
result## # A tibble: 46 × 36
## # Groups: STATE [46]
## USAFID WBAN year month day hour min lat lon elev wind.…¹ wind.…²
## <int> <int> <int> <int> <int> <int> <int> <dbl> <dbl> <int> <int> <chr>
## 1 720413 138 2019 8 30 17 56 34.3 -87.6 284 NA 9
## 2 723440 13964 2019 8 26 21 53 35.3 -94.4 141 120 5
## 3 722780 23183 2019 8 23 0 51 33.4 -112. 337 310 5
## 4 723805 23179 2019 8 23 1 56 34.8 -115. 279 180 5
## 5 724636 3013 2019 8 17 23 53 38.1 -103. 1129 130 5
## 6 725080 14740 2019 8 8 19 51 41.9 -72.7 55 220 5
## 7 724180 13781 2019 8 7 18 51 39.7 -75.6 24 180 5
## 8 722226 93841 2019 8 14 18 56 30.7 -87.0 61 200 5
## 9 723200 93801 2019 8 13 21 53 34.3 -85.2 196 80 5
## 10 725485 14940 2019 8 18 9 53 43.2 -93.3 373 280 5
## # … with 36 more rows, 24 more variables: wind.type.code <chr>,
## # wind.sp.x <dbl>, wind.sp.qc <chr>, ceiling.ht <int>, ceiling.ht.qc <int>,
## # ceiling.ht.method <chr>, sky.cond <chr>, vis.dist <int>, vis.dist.qc <chr>,
## # vis.var <chr>, vis.var.qc <chr>, temp.x <dbl>, temp.qc <chr>,
## # dew.point <dbl>, dew.point.qc <chr>, atm.press.x <dbl>, atm.press.qc <int>,
## # rh <dbl>, CTRY <chr>, STATE <chr>, temp.y <dbl>, wind.sp.y <dbl>,
## # atm.press.y <dbl>, distance <dbl>, and abbreviated variable names …#check for duplicates
length(unique(result$STATE)) == nrow(result)## [1] TRUEThere are no identical observations in the representation in state, so we do not need to order by latitude.
Knit the doc and save it on GitHub.
Question 3: In the middle?
For each state, identify what is the station that is closest to the
mid-point of the state. Combining these with the stations you identified
in the previous question, use leaflet() to visualize all
~100 points in the same figure, applying different colors for those
identified in this question.
#mean
met_mid_pt_lz <- met_lz %>% group_by(STATE) %>% summarise(
across (c(lat, lon), function(x) mean(x,na.rm=TRUE)))
merged <- met_lz %>% left_join(met_mid_pt_lz, by = "STATE") %>% as.data.frame()
merged## USAFID WBAN year month day hour min lat.x lon.x elev wind.dir
## 1 690150 93121 2019 8 1 0 56 34.300 -116.166 696 220
## 2 690150 93121 2019 8 1 1 56 34.300 -116.166 696 230
## 3 690150 93121 2019 8 1 2 56 34.300 -116.166 696 230
## 4 690150 93121 2019 8 1 3 56 34.300 -116.166 696 210
## 5 690150 93121 2019 8 1 4 56 34.300 -116.166 696 120
## 6 690150 93121 2019 8 1 5 56 34.300 -116.166 696 NA
## 7 690150 93121 2019 8 1 6 56 34.300 -116.166 696 320
## 8 690150 93121 2019 8 1 7 56 34.300 -116.166 696 10
## 9 690150 93121 2019 8 1 8 56 34.300 -116.166 696 320
## 10 690150 93121 2019 8 1 9 56 34.300 -116.166 696 350
## 11 690150 93121 2019 8 1 10 56 34.296 -116.162 625 360
## 12 690150 93121 2019 8 1 11 56 34.296 -116.162 625 310
## 13 690150 93121 2019 8 1 12 56 34.300 -116.166 696 NA
## 14 690150 93121 2019 8 1 13 56 34.300 -116.166 696 NA
## 15 690150 93121 2019 8 1 14 56 34.300 -116.166 696 NA
## 16 690150 93121 2019 8 1 15 56 34.300 -116.166 696 350
## 17 690150 93121 2019 8 1 16 56 34.300 -116.166 696 30
## 18 690150 93121 2019 8 1 17 56 34.300 -116.166 696 NA
## 19 690150 93121 2019 8 1 18 56 34.300 -116.166 696 NA
## 20 690150 93121 2019 8 1 19 56 34.300 -116.166 696 100
## 21 690150 93121 2019 8 1 20 56 34.300 -116.166 696 150
## 22 690150 93121 2019 8 1 21 56 34.300 -116.166 696 200
## 23 690150 93121 2019 8 1 22 56 34.300 -116.166 696 220
## 24 690150 93121 2019 8 1 23 56 34.300 -116.166 696 220
## 25 690150 93121 2019 8 2 0 56 34.300 -116.166 696 250
## 26 690150 93121 2019 8 2 1 56 34.300 -116.166 696 230
## 27 690150 93121 2019 8 2 2 56 34.300 -116.166 696 240
## 28 690150 93121 2019 8 2 3 56 34.300 -116.166 696 240
## 29 690150 93121 2019 8 2 4 56 34.300 -116.166 696 260
## 30 690150 93121 2019 8 2 5 56 34.300 -116.166 696 260
## 31 690150 93121 2019 8 2 6 56 34.300 -116.166 696 10
## 32 690150 93121 2019 8 2 7 56 34.300 -116.166 696 310
## 33 690150 93121 2019 8 2 8 56 34.300 -116.166 696 310
## 34 690150 93121 2019 8 2 9 56 34.300 -116.166 696 310
## 35 690150 93121 2019 8 2 10 56 34.300 -116.166 696 280
## 36 690150 93121 2019 8 2 11 56 34.300 -116.166 696 280
## 37 690150 93121 2019 8 2 12 56 34.300 -116.166 696 280
## 38 690150 93121 2019 8 2 13 56 34.300 -116.166 696 300
## 39 690150 93121 2019 8 2 14 56 34.300 -116.166 696 300
## 40 690150 93121 2019 8 2 15 56 34.300 -116.166 696 300
## 41 690150 93121 2019 8 2 16 56 34.300 -116.166 696 NA
## 42 690150 93121 2019 8 2 17 56 34.300 -116.166 696 30
## 43 690150 93121 2019 8 2 18 56 34.300 -116.166 696 220
## 44 690150 93121 2019 8 2 19 56 34.300 -116.166 696 NA
## 45 690150 93121 2019 8 2 20 56 34.300 -116.166 696 150
## 46 690150 93121 2019 8 2 21 56 34.300 -116.166 696 170
## 47 690150 93121 2019 8 2 22 56 34.300 -116.166 696 120
## 48 690150 93121 2019 8 2 23 56 34.300 -116.166 696 220
## 49 690150 93121 2019 8 3 0 56 34.300 -116.166 696 220
## 50 690150 93121 2019 8 3 1 56 34.300 -116.166 696 230
## 51 690150 93121 2019 8 3 2 56 34.300 -116.166 696 220
## 52 690150 93121 2019 8 3 3 56 34.300 -116.166 696 220
## 53 690150 93121 2019 8 3 4 56 34.300 -116.166 696 240
## 54 690150 93121 2019 8 3 5 56 34.300 -116.166 696 280
## 55 690150 93121 2019 8 3 6 56 34.300 -116.166 696 350
## 56 690150 93121 2019 8 3 7 56 34.300 -116.166 696 340
## 57 690150 93121 2019 8 3 8 56 34.300 -116.166 696 290
## 58 690150 93121 2019 8 3 9 56 34.300 -116.166 696 290
## 59 690150 93121 2019 8 3 10 56 34.300 -116.166 696 310
## 60 690150 93121 2019 8 3 11 56 34.300 -116.166 696 280
## 61 690150 93121 2019 8 3 12 56 34.300 -116.166 696 280
## 62 690150 93121 2019 8 3 13 56 34.300 -116.166 696 310
## 63 690150 93121 2019 8 3 14 56 34.300 -116.166 696 320
## 64 690150 93121 2019 8 3 15 56 34.300 -116.166 696 NA
## 65 690150 93121 2019 8 3 16 56 34.300 -116.166 696 NA
## 66 690150 93121 2019 8 3 17 56 34.300 -116.166 696 170
## 67 690150 93121 2019 8 3 18 56 34.300 -116.166 696 90
## 68 690150 93121 2019 8 3 19 56 34.300 -116.166 696 NA
## 69 690150 93121 2019 8 3 20 56 34.300 -116.166 696 NA
## 70 690150 93121 2019 8 3 21 56 34.300 -116.166 696 180
## 71 690150 93121 2019 8 3 22 56 34.300 -116.166 696 190
## 72 690150 93121 2019 8 3 23 56 34.300 -116.166 696 230
## 73 690150 93121 2019 8 4 0 56 34.300 -116.166 696 230
## 74 690150 93121 2019 8 4 1 56 34.300 -116.166 696 210
## 75 690150 93121 2019 8 4 2 56 34.300 -116.166 696 230
## 76 690150 93121 2019 8 4 3 56 34.300 -116.166 696 230
## 77 690150 93121 2019 8 4 4 56 34.300 -116.166 696 260
## 78 690150 93121 2019 8 4 5 56 34.300 -116.166 696 280
## 79 690150 93121 2019 8 4 6 56 34.300 -116.166 696 350
## 80 690150 93121 2019 8 4 7 56 34.300 -116.166 696 310
## 81 690150 93121 2019 8 4 8 56 34.300 -116.166 696 290
## 82 690150 93121 2019 8 4 9 56 34.300 -116.166 696 290
## 83 690150 93121 2019 8 4 10 56 34.300 -116.166 696 290
## 84 690150 93121 2019 8 4 11 56 34.300 -116.166 696 290
## 85 690150 93121 2019 8 4 12 56 34.300 -116.166 696 290
## 86 690150 93121 2019 8 4 13 56 34.300 -116.166 696 280
## 87 690150 93121 2019 8 4 14 56 34.300 -116.166 696 NA
## 88 690150 93121 2019 8 4 15 56 34.300 -116.166 696 340
## 89 690150 93121 2019 8 4 16 56 34.300 -116.166 696 NA
## 90 690150 93121 2019 8 4 17 56 34.300 -116.166 696 130
## 91 690150 93121 2019 8 4 18 56 34.300 -116.166 696 120
## 92 690150 93121 2019 8 4 19 56 34.300 -116.166 696 120
## 93 690150 93121 2019 8 4 20 56 34.300 -116.166 696 320
## 94 690150 93121 2019 8 4 21 56 34.300 -116.166 696 NA
## 95 690150 93121 2019 8 4 22 56 34.300 -116.166 696 200
## 96 690150 93121 2019 8 4 23 56 34.300 -116.166 696 180
## 97 690150 93121 2019 8 5 0 56 34.300 -116.166 696 200
## 98 690150 93121 2019 8 5 1 56 34.300 -116.166 696 220
## 99 690150 93121 2019 8 5 2 56 34.300 -116.166 696 230
## 100 690150 93121 2019 8 5 3 56 34.300 -116.166 696 210
## 101 690150 93121 2019 8 5 4 56 34.300 -116.166 696 240
## 102 690150 93121 2019 8 5 5 56 34.300 -116.166 696 360
## 103 690150 93121 2019 8 5 6 56 34.300 -116.166 696 270
## 104 690150 93121 2019 8 5 7 56 34.300 -116.166 696 320
## 105 690150 93121 2019 8 5 8 56 34.300 -116.166 696 340
## 106 690150 93121 2019 8 5 9 56 34.300 -116.166 696 300
## 107 690150 93121 2019 8 5 10 56 34.300 -116.166 696 280
## 108 690150 93121 2019 8 5 11 56 34.300 -116.166 696 270
## 109 690150 93121 2019 8 5 12 56 34.300 -116.166 696 280
## 110 690150 93121 2019 8 5 13 56 34.300 -116.166 696 330
## 111 690150 93121 2019 8 5 14 56 34.300 -116.166 696 330
## 112 690150 93121 2019 8 5 15 56 34.300 -116.166 696 310
## 113 690150 93121 2019 8 5 16 56 34.300 -116.166 696 NA
## 114 690150 93121 2019 8 5 17 56 34.300 -116.166 696 NA
## 115 690150 93121 2019 8 5 18 56 34.300 -116.166 696 NA
## 116 690150 93121 2019 8 5 19 56 34.300 -116.166 696 NA
## 117 690150 93121 2019 8 5 20 56 34.300 -116.166 696 NA
## 118 690150 93121 2019 8 5 21 56 34.300 -116.166 696 200
## 119 690150 93121 2019 8 5 22 56 34.300 -116.166 696 190
## 120 690150 93121 2019 8 5 23 56 34.300 -116.166 696 240
## 121 690150 93121 2019 8 6 0 56 34.300 -116.166 696 240
## 122 690150 93121 2019 8 6 1 56 34.300 -116.166 696 240
## 123 690150 93121 2019 8 6 2 56 34.300 -116.166 696 240
## 124 690150 93121 2019 8 6 3 56 34.300 -116.166 696 260
## 125 690150 93121 2019 8 6 4 56 34.300 -116.166 696 290
## 126 690150 93121 2019 8 6 5 56 34.300 -116.166 696 250
## 127 690150 93121 2019 8 6 6 56 34.300 -116.166 696 280
## 128 690150 93121 2019 8 6 7 56 34.300 -116.166 696 280
## 129 690150 93121 2019 8 6 8 56 34.300 -116.166 696 330
## 130 690150 93121 2019 8 6 9 56 34.300 -116.166 696 280
## 131 690150 93121 2019 8 6 10 56 34.300 -116.166 696 260
## 132 690150 93121 2019 8 6 11 56 34.300 -116.166 696 340
## 133 690150 93121 2019 8 6 12 56 34.300 -116.166 696 290
## 134 690150 93121 2019 8 6 13 56 34.300 -116.166 696 260
## 135 690150 93121 2019 8 6 14 56 34.300 -116.166 696 120
## 136 690150 93121 2019 8 6 15 56 34.300 -116.166 696 190
## 137 690150 93121 2019 8 6 16 56 34.300 -116.166 696 NA
## 138 690150 93121 2019 8 6 17 56 34.300 -116.166 696 210
## 139 690150 93121 2019 8 6 18 56 34.300 -116.166 696 NA
## 140 690150 93121 2019 8 6 19 56 34.300 -116.166 696 360
## 141 690150 93121 2019 8 6 20 56 34.300 -116.166 696 NA
## 142 690150 93121 2019 8 6 21 56 34.300 -116.166 696 130
## 143 690150 93121 2019 8 6 22 56 34.300 -116.166 696 120
## 144 690150 93121 2019 8 6 23 56 34.300 -116.166 696 100
## 145 690150 93121 2019 8 7 0 56 34.300 -116.166 696 120
## 146 690150 93121 2019 8 7 1 56 34.300 -116.166 696 150
## 147 690150 93121 2019 8 7 2 56 34.300 -116.166 696 230
## 148 690150 93121 2019 8 7 3 56 34.300 -116.166 696 220
## 149 690150 93121 2019 8 7 4 56 34.300 -116.166 696 220
## 150 690150 93121 2019 8 7 5 56 34.300 -116.166 696 360
## 151 690150 93121 2019 8 7 6 56 34.300 -116.166 696 220
## 152 690150 93121 2019 8 7 7 56 34.300 -116.166 696 250
## 153 690150 93121 2019 8 7 7 59 34.300 -116.166 696 NA
## 154 690150 93121 2019 8 7 8 56 34.300 -116.166 696 210
## 155 690150 93121 2019 8 7 9 56 34.300 -116.166 696 350
## 156 690150 93121 2019 8 7 10 56 34.300 -116.166 696 270
## 157 690150 93121 2019 8 7 11 56 34.300 -116.166 696 300
## 158 690150 93121 2019 8 7 12 56 34.300 -116.166 696 330
## 159 690150 93121 2019 8 7 13 56 34.300 -116.166 696 60
## 160 690150 93121 2019 8 7 14 56 34.300 -116.166 696 360
## 161 690150 93121 2019 8 7 15 56 34.300 -116.166 696 NA
## 162 690150 93121 2019 8 7 16 56 34.300 -116.166 696 NA
## 163 690150 93121 2019 8 7 17 56 34.300 -116.166 696 NA
## 164 690150 93121 2019 8 7 18 56 34.300 -116.166 696 130
## 165 690150 93121 2019 8 7 19 54 34.300 -116.166 696 170
## 166 690150 93121 2019 8 7 19 56 34.300 -116.166 696 NA
## 167 690150 93121 2019 8 7 20 56 34.300 -116.166 696 240
## 168 690150 93121 2019 8 7 21 56 34.300 -116.166 696 200
## 169 690150 93121 2019 8 7 22 56 34.300 -116.166 696 220
## 170 690150 93121 2019 8 7 23 56 34.300 -116.166 696 230
## 171 690150 93121 2019 8 8 0 56 34.300 -116.166 696 200
## 172 690150 93121 2019 8 8 1 56 34.300 -116.166 696 230
## 173 690150 93121 2019 8 8 2 56 34.300 -116.166 696 220
## 174 690150 93121 2019 8 8 3 56 34.300 -116.166 696 220
## 175 690150 93121 2019 8 8 4 56 34.300 -116.166 696 150
## 176 690150 93121 2019 8 8 5 56 34.300 -116.166 696 290
## 177 690150 93121 2019 8 8 6 56 34.300 -116.166 696 290
## 178 690150 93121 2019 8 8 7 56 34.300 -116.166 696 NA
## 179 690150 93121 2019 8 8 7 59 34.300 -116.166 696 NA
## 180 690150 93121 2019 8 8 8 56 34.300 -116.166 696 NA
## 181 690150 93121 2019 8 8 9 56 34.300 -116.166 696 NA
## 182 690150 93121 2019 8 8 10 56 34.300 -116.166 696 350
## 183 690150 93121 2019 8 8 11 56 34.300 -116.166 696 310
## 184 690150 93121 2019 8 8 12 56 34.300 -116.166 696 NA
## 185 690150 93121 2019 8 8 13 56 34.300 -116.166 696 290
## 186 690150 93121 2019 8 8 14 56 34.300 -116.166 696 340
## 187 690150 93121 2019 8 8 15 56 34.300 -116.166 696 NA
## 188 690150 93121 2019 8 8 16 56 34.300 -116.166 696 NA
## 189 690150 93121 2019 8 8 17 56 34.300 -116.166 696 NA
## 190 690150 93121 2019 8 8 18 56 34.300 -116.166 696 NA
## 191 690150 93121 2019 8 8 19 56 34.300 -116.166 696 150
## 192 690150 93121 2019 8 8 20 56 34.300 -116.166 696 110
## 193 690150 93121 2019 8 8 21 56 34.300 -116.166 696 120
## 194 690150 93121 2019 8 8 22 56 34.300 -116.166 696 NA
## 195 690150 93121 2019 8 8 23 56 34.300 -116.166 696 240
## 196 690150 93121 2019 8 9 0 56 34.300 -116.166 696 250
## 197 690150 93121 2019 8 9 1 56 34.300 -116.166 696 240
## 198 690150 93121 2019 8 9 2 56 34.300 -116.166 696 240
## 199 690150 93121 2019 8 9 3 56 34.300 -116.166 696 220
## 200 690150 93121 2019 8 9 4 56 34.300 -116.166 696 230
## 201 690150 93121 2019 8 9 5 56 34.300 -116.166 696 300
## 202 690150 93121 2019 8 9 6 56 34.300 -116.166 696 320
## 203 690150 93121 2019 8 9 7 56 34.300 -116.166 696 280
## 204 690150 93121 2019 8 9 8 56 34.300 -116.166 696 280
## 205 690150 93121 2019 8 9 9 56 34.300 -116.166 696 280
## 206 690150 93121 2019 8 9 10 56 34.300 -116.166 696 270
## 207 690150 93121 2019 8 9 11 56 34.296 -116.162 625 260
## 208 690150 93121 2019 8 9 12 56 34.300 -116.166 696 300
## 209 690150 93121 2019 8 9 13 56 34.300 -116.166 696 NA
## 210 690150 93121 2019 8 9 14 56 34.300 -116.166 696 30
## 211 690150 93121 2019 8 9 15 56 34.300 -116.166 696 360
## 212 690150 93121 2019 8 9 16 56 34.300 -116.166 696 NA
## 213 690150 93121 2019 8 9 17 56 34.300 -116.166 696 NA
## 214 690150 93121 2019 8 9 18 56 34.300 -116.166 696 NA
## 215 690150 93121 2019 8 9 19 56 34.300 -116.166 696 NA
## 216 690150 93121 2019 8 9 20 56 34.300 -116.166 696 NA
## 217 690150 93121 2019 8 9 21 56 34.300 -116.166 696 NA
## 218 690150 93121 2019 8 9 22 56 34.300 -116.166 696 180
## 219 690150 93121 2019 8 9 23 56 34.300 -116.166 696 230
## 220 690150 93121 2019 8 10 0 56 34.300 -116.166 696 230
## 221 690150 93121 2019 8 10 1 56 34.300 -116.166 696 210
## 222 690150 93121 2019 8 10 2 56 34.300 -116.166 696 220
## 223 690150 93121 2019 8 10 3 56 34.300 -116.166 696 240
## 224 690150 93121 2019 8 10 4 56 34.300 -116.166 696 250
## 225 690150 93121 2019 8 10 5 56 34.300 -116.166 696 270
## 226 690150 93121 2019 8 10 6 56 34.300 -116.166 696 280
## 227 690150 93121 2019 8 10 7 56 34.300 -116.166 696 300
## 228 690150 93121 2019 8 10 8 56 34.300 -116.166 696 300
## 229 690150 93121 2019 8 10 9 56 34.300 -116.166 696 280
## 230 690150 93121 2019 8 10 10 56 34.300 -116.166 696 270
## 231 690150 93121 2019 8 10 11 56 34.300 -116.166 696 290
## 232 690150 93121 2019 8 10 12 56 34.300 -116.166 696 270
## 233 690150 93121 2019 8 10 13 56 34.300 -116.166 696 NA
## 234 690150 93121 2019 8 10 14 56 34.300 -116.166 696 330
## 235 690150 93121 2019 8 10 15 56 34.300 -116.166 696 350
## 236 690150 93121 2019 8 10 16 56 34.300 -116.166 696 360
## 237 690150 93121 2019 8 10 17 56 34.300 -116.166 696 NA
## 238 690150 93121 2019 8 10 18 56 34.300 -116.166 696 180
## 239 690150 93121 2019 8 10 19 56 34.300 -116.166 696 NA
## 240 690150 93121 2019 8 10 20 56 34.300 -116.166 696 150
## 241 690150 93121 2019 8 10 21 56 34.300 -116.166 696 NA
## 242 690150 93121 2019 8 10 22 56 34.300 -116.166 696 220
## 243 690150 93121 2019 8 10 23 56 34.300 -116.166 696 250
## 244 690150 93121 2019 8 11 0 56 34.300 -116.166 696 220
## 245 690150 93121 2019 8 11 1 56 34.300 -116.166 696 220
## 246 690150 93121 2019 8 11 2 56 34.300 -116.166 696 230
## 247 690150 93121 2019 8 11 3 56 34.300 -116.166 696 240
## 248 690150 93121 2019 8 11 4 56 34.300 -116.166 696 310
## 249 690150 93121 2019 8 11 5 56 34.300 -116.166 696 300
## 250 690150 93121 2019 8 11 6 56 34.300 -116.166 696 300
## 251 690150 93121 2019 8 11 7 56 34.300 -116.166 696 300
## 252 690150 93121 2019 8 11 8 56 34.300 -116.166 696 320
## 253 690150 93121 2019 8 11 9 56 34.300 -116.166 696 300
## 254 690150 93121 2019 8 11 10 56 34.300 -116.166 696 330
## 255 690150 93121 2019 8 11 11 56 34.300 -116.166 696 300
## 256 690150 93121 2019 8 11 12 56 34.300 -116.166 696 280
## 257 690150 93121 2019 8 11 13 56 34.300 -116.166 696 310
## 258 690150 93121 2019 8 11 14 56 34.300 -116.166 696 300
## 259 690150 93121 2019 8 11 15 56 34.300 -116.166 696 NA
## 260 690150 93121 2019 8 11 16 56 34.300 -116.166 696 310
## 261 690150 93121 2019 8 11 17 56 34.300 -116.166 696 290
## 262 690150 93121 2019 8 11 18 56 34.300 -116.166 696 160
## 263 690150 93121 2019 8 11 19 56 34.300 -116.166 696 NA
## 264 690150 93121 2019 8 11 20 56 34.300 -116.166 696 NA
## 265 690150 93121 2019 8 11 21 56 34.300 -116.166 696 140
## 266 690150 93121 2019 8 11 22 56 34.296 -116.162 625 170
## 267 690150 93121 2019 8 11 23 56 34.296 -116.162 625 110
## 268 690150 93121 2019 8 12 0 56 34.296 -116.162 625 110
## 269 690150 93121 2019 8 12 1 56 34.296 -116.162 625 NA
## 270 690150 93121 2019 8 12 2 56 34.296 -116.162 625 240
## 271 690150 93121 2019 8 12 3 56 34.296 -116.162 625 230
## 272 690150 93121 2019 8 12 4 56 34.296 -116.162 625 270
## 273 690150 93121 2019 8 12 5 56 34.296 -116.162 625 280
## 274 690150 93121 2019 8 12 6 56 34.296 -116.162 625 330
## 275 690150 93121 2019 8 12 7 56 34.296 -116.162 625 310
## 276 690150 93121 2019 8 12 8 56 34.296 -116.162 625 310
## 277 690150 93121 2019 8 12 9 56 34.296 -116.162 625 290
## 278 690150 93121 2019 8 12 10 56 34.296 -116.162 625 290
## 279 690150 93121 2019 8 12 11 56 34.296 -116.162 625 290
## 280 690150 93121 2019 8 12 12 56 34.296 -116.162 625 NA
## 281 690150 93121 2019 8 12 13 56 34.296 -116.162 625 290
## 282 690150 93121 2019 8 12 14 56 34.296 -116.162 625 350
## 283 690150 93121 2019 8 12 15 56 34.296 -116.162 625 340
## 284 690150 93121 2019 8 12 16 56 34.296 -116.162 625 NA
## 285 690150 93121 2019 8 12 17 56 34.296 -116.162 625 NA
## 286 690150 93121 2019 8 12 18 56 34.296 -116.162 625 90
## 287 690150 93121 2019 8 12 19 56 34.296 -116.162 625 140
## 288 690150 93121 2019 8 12 20 56 34.300 -116.166 696 NA
## 289 690150 93121 2019 8 12 21 56 34.300 -116.166 696 250
## 290 690150 93121 2019 8 12 22 56 34.300 -116.166 696 190
## 291 690150 93121 2019 8 12 23 56 34.300 -116.166 696 NA
## 292 690150 93121 2019 8 13 0 56 34.300 -116.166 696 190
## 293 690150 93121 2019 8 13 1 56 34.296 -116.162 625 240
## 294 690150 93121 2019 8 13 2 56 34.296 -116.162 625 230
## 295 690150 93121 2019 8 13 3 56 34.300 -116.166 696 220
## 296 690150 93121 2019 8 13 4 56 34.296 -116.162 625 NA
## 297 690150 93121 2019 8 13 5 56 34.300 -116.166 696 220
## 298 690150 93121 2019 8 13 6 56 34.300 -116.166 696 360
## 299 690150 93121 2019 8 13 7 56 34.300 -116.166 696 340
## 300 690150 93121 2019 8 13 8 56 34.300 -116.166 696 330
## 301 690150 93121 2019 8 13 9 56 34.300 -116.166 696 290
## 302 690150 93121 2019 8 13 10 56 34.300 -116.166 696 290
## 303 690150 93121 2019 8 13 11 56 34.300 -116.166 696 340
## 304 690150 93121 2019 8 13 12 56 34.296 -116.162 625 290
## 305 690150 93121 2019 8 13 13 56 34.300 -116.166 696 310
## 306 690150 93121 2019 8 13 14 56 34.300 -116.166 696 NA
## 307 690150 93121 2019 8 13 15 56 34.300 -116.166 696 340
## 308 690150 93121 2019 8 13 16 56 34.300 -116.166 696 30
## 309 690150 93121 2019 8 13 17 56 34.300 -116.166 696 120
## 310 690150 93121 2019 8 13 18 56 34.300 -116.166 696 150
## 311 690150 93121 2019 8 13 19 56 34.300 -116.166 696 90
## 312 690150 93121 2019 8 13 20 56 34.300 -116.166 696 110
## 313 690150 93121 2019 8 13 21 56 34.300 -116.166 696 160
## 314 690150 93121 2019 8 13 22 56 34.300 -116.166 696 NA
## 315 690150 93121 2019 8 13 23 56 34.300 -116.166 696 NA
## 316 690150 93121 2019 8 14 0 56 34.300 -116.166 696 200
## 317 690150 93121 2019 8 14 1 56 34.300 -116.166 696 240
## 318 690150 93121 2019 8 14 2 56 34.300 -116.166 696 230
## 319 690150 93121 2019 8 14 3 56 34.300 -116.166 696 220
## 320 690150 93121 2019 8 14 4 56 34.300 -116.166 696 210
## 321 690150 93121 2019 8 14 5 56 34.300 -116.166 696 NA
## 322 690150 93121 2019 8 14 6 56 34.300 -116.166 696 240
## 323 690150 93121 2019 8 14 7 56 34.300 -116.166 696 300
## 324 690150 93121 2019 8 14 8 56 34.300 -116.166 696 350
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## 2721 720110 53983 2019 8 27 23 55 30.784 -98.662 336 160
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## 2725 720110 53983 2019 8 28 1 15 30.784 -98.662 336 NA
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## 2728 720110 53983 2019 8 28 2 15 30.784 -98.662 336 30
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## 2940 720110 53983 2019 8 31 1 35 30.784 -98.662 336 NA
## 2941 720110 53983 2019 8 31 1 55 30.784 -98.662 336 70
## wind.dir.qc wind.type.code wind.sp wind.sp.qc ceiling.ht ceiling.ht.qc
## 1 5 N 5.7 5 22000 5
## 2 5 N 8.2 5 22000 5
## 3 5 N 6.7 5 22000 5
## 4 5 N 5.1 5 22000 5
## 5 5 N 2.1 5 22000 5
## 6 9 C 0.0 5 22000 5
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## 1848 5 N 4.1 5 22000 5
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## 1895 5 N 1.5 5 22000 5
## 1896 5 N 2.6 5 22000 5
## 1897 5 N 2.6 5 22000 5
## 1898 5 N 1.5 5 22000 5
## 1899 5 N 2.6 5 22000 5
## 1900 5 N 2.1 5 22000 5
## 1901 5 N 1.5 5 22000 5
## 1902 9 C 0.0 5 22000 5
## 1903 5 N 2.6 5 22000 5
## 1904 5 N 2.6 5 22000 5
## 1905 5 N 1.5 5 22000 5
## 1906 5 N 2.6 5 22000 5
## 1907 5 N 3.1 5 22000 5
## 1908 5 N 3.1 5 22000 5
## 1909 5 N 3.1 5 22000 5
## 1910 5 V 4.1 5 22000 5
## 1911 5 N 3.6 5 22000 5
## 1912 5 N 4.1 5 22000 5
## 1913 5 N 4.1 5 22000 5
## 1914 5 N 5.1 5 22000 5
## 1915 5 N 3.1 5 22000 5
## 1916 5 N 5.7 5 22000 5
## 1917 5 N 5.1 5 22000 5
## 1918 5 N 5.1 5 22000 5
## 1919 5 N 4.1 5 22000 5
## 1920 5 N 4.6 5 22000 5
## 1921 5 N 4.1 5 22000 5
## 1922 5 N 3.1 5 22000 5
## 1923 5 N 3.1 5 22000 5
## 1924 5 N 3.1 5 22000 5
## 1925 5 N 4.1 5 22000 5
## 1926 5 N 2.6 5 22000 5
## 1927 5 N 2.6 5 22000 5
## 1928 5 N 1.5 5 22000 5
## 1929 5 N 1.5 5 22000 5
## 1930 9 C 0.0 5 22000 5
## 1931 9 C 0.0 5 22000 5
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## 1933 5 N 1.5 5 22000 5
## 1934 5 N 3.1 5 22000 5
## 1935 5 N 2.6 5 22000 5
## 1936 5 N 3.6 5 22000 5
## 1937 9 9 NA 9 NA 9
## 1938 5 N 4.1 5 22000 5
## 1939 5 N 2.6 5 22000 5
## 1940 5 N 4.1 5 22000 5
## 1941 5 N 3.1 5 22000 5
## 1942 5 N 2.1 5 22000 5
## 1943 5 N 2.6 5 22000 5
## 1944 5 N 3.6 5 22000 5
## 1945 5 N 3.1 5 22000 5
## 1946 5 N 2.1 5 22000 5
## 1947 5 N 2.1 5 22000 5
## 1948 5 N 1.5 5 22000 5
## 1949 9 C 0.0 5 22000 5
## 1950 9 C 0.0 5 22000 5
## 1951 5 N 1.5 5 22000 5
## 1952 9 C 0.0 5 22000 5
## 1953 9 C 0.0 5 22000 5
## 1954 9 C 0.0 5 22000 5
## 1955 9 C 0.0 5 22000 5
## 1956 9 C 0.0 5 22000 5
## 1957 9 C 0.0 5 22000 5
## 1958 9 C 0.0 5 22000 5
## 1959 5 N 1.5 5 22000 5
## 1960 5 N 3.1 5 22000 5
## 1961 5 N 3.1 5 22000 5
## 1962 5 N 3.1 5 22000 5
## 1963 5 N 4.6 5 22000 5
## 1964 5 V 3.1 5 22000 5
## 1965 5 N 2.6 5 22000 5
## 1966 5 V 3.6 5 22000 5
## 1967 5 N 3.6 5 22000 5
## 1968 5 N 4.1 5 22000 5
## 1969 5 N 3.1 5 22000 5
## 1970 5 N 5.1 5 22000 5
## 1971 5 N 4.1 5 22000 5
## 1972 5 N 3.1 5 22000 5
## 1973 5 N 2.6 5 22000 5
## 1974 5 N 2.6 5 22000 5
## 1975 5 N 2.1 5 22000 5
## 1976 5 N 2.6 5 22000 5
## 1977 5 V 3.6 5 22000 5
## 1978 5 N 3.1 5 22000 5
## 1979 5 N 2.6 5 22000 5
## 1980 5 V 4.6 5 22000 5
## 1981 5 N 3.6 5 22000 5
## 1982 5 N 2.6 5 22000 5
## 1983 5 N 3.6 5 22000 5
## 1984 5 N 5.7 5 22000 5
## 1985 5 N 4.6 5 22000 5
## 1986 5 N 3.6 5 22000 5
## 1987 5 N 2.6 5 22000 5
## 1988 5 N 2.6 5 22000 5
## 1989 5 N 3.6 5 22000 5
## 1990 5 N 5.1 5 22000 5
## 1991 5 N 5.7 5 22000 5
## 1992 5 N 4.1 5 22000 5
## 1993 5 N 4.1 5 22000 5
## 1994 5 N 3.6 5 22000 5
## 1995 5 N 4.1 5 22000 5
## 1996 5 N 3.6 5 22000 5
## 1997 5 N 3.1 5 22000 5
## 1998 5 N 2.6 5 22000 5
## 1999 5 N 4.1 5 22000 5
## 2000 5 N 3.6 5 22000 5
## 2001 5 N 3.1 5 22000 5
## 2002 5 N 3.6 5 22000 5
## 2003 5 N 3.6 5 22000 5
## 2004 5 N 3.6 5 22000 5
## 2005 5 N 3.6 5 22000 5
## 2006 5 N 4.6 5 22000 5
## 2007 5 N 3.6 5 22000 5
## 2008 5 N 2.6 5 22000 5
## 2009 5 N 5.1 5 22000 5
## 2010 9 9 NA 9 NA 9
## 2011 5 N 3.6 5 22000 5
## 2012 5 N 4.1 5 22000 5
## 2013 5 N 3.1 5 22000 5
## 2014 5 N 3.6 5 22000 5
## 2015 5 N 3.6 5 22000 5
## 2016 5 N 2.6 5 22000 5
## 2017 5 N 2.1 5 22000 5
## 2018 5 N 2.1 5 22000 5
## 2019 5 N 1.5 5 22000 5
## 2020 9 C 0.0 5 22000 5
## 2021 9 C 0.0 5 22000 5
## 2022 5 N 1.5 5 22000 5
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## 2026 5 N 2.6 5 22000 5
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## 2028 9 C 0.0 5 22000 5
## 2029 9 C 0.0 5 22000 5
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## ceiling.ht.method sky.cond vis.dist vis.dist.qc vis.var vis.var.qc temp
## 1 9 N 16093 5 N 5 37.2
## 2 9 N 16093 5 N 5 35.6
## 3 9 N 16093 5 N 5 34.4
## 4 9 N 16093 5 N 5 33.3
## 5 9 N 16093 5 N 5 32.8
## 6 9 N 16093 5 N 5 31.1
## 7 9 N 16093 5 N 5 29.4
## 8 9 N 16093 5 N 5 28.9
## 9 9 N 16093 5 N 5 27.2
## 10 9 N 16093 5 N 5 26.7
## 11 9 N 16093 1 9 9 26.7
## 12 9 N 16093 1 9 9 25.6
## 13 9 N 14484 5 N 5 25.6
## 14 9 N 14484 5 N 5 25.6
## 15 9 N 16093 5 N 5 27.8
## 16 9 N 16093 5 N 5 30.6
## 17 9 N 16093 5 N 5 33.3
## 18 9 N 16093 5 N 5 35.6
## 19 9 N 16093 5 N 5 37.2
## 20 9 N 16093 5 N 5 38.3
## 21 9 N 16093 5 N 5 39.4
## 22 9 N 16093 5 N 5 40.0
## 23 9 N 16093 5 N 5 40.0
## 24 9 N 16093 5 N 5 40.0
## 25 9 N 16093 5 N 5 39.4
## 26 9 N 16093 5 N 5 37.8
## 27 9 N 16093 5 N 5 36.1
## 28 9 N 16093 5 N 5 35.0
## 29 9 N 16093 5 N 5 33.3
## 30 9 N 16093 5 N 5 31.7
## 31 9 N 16093 5 N 5 28.9
## 32 9 N 16093 5 N 5 30.6
## 33 9 N 16093 5 N 5 28.3
## 34 9 N 16093 5 N 5 27.8
## 35 9 N 16093 5 N 5 27.2
## 36 9 N 16093 5 N 5 27.8
## 37 9 N 16093 5 N 5 26.7
## 38 9 N 16093 5 N 5 27.2
## 39 9 N 16093 5 N 5 29.4
## 40 9 N 16093 5 N 5 31.7
## 41 9 N 16093 5 N 5 34.4
## 42 9 N 16093 5 N 5 36.1
## 43 9 N 16093 5 N 5 36.7
## 44 9 N 16093 5 N 5 38.3
## 45 M N 16093 5 N 5 39.4
## 46 M N 16093 5 N 5 40.6
## 47 M N 16093 5 N 5 40.0
## 48 9 N 16093 5 N 5 40.6
## 49 9 N 16093 5 N 5 39.4
## 50 9 N 16093 5 N 5 37.8
## 51 9 N 16093 5 N 5 35.6
## 52 9 N 16093 5 N 5 34.4
## 53 9 N 16093 5 N 5 33.9
## 54 9 N 16093 5 N 5 32.2
## 55 9 N 16093 5 N 5 31.1
## 56 9 N 16093 5 N 5 29.4
## 57 9 N 16093 5 N 5 30.0
## 58 9 N 16093 5 N 5 28.9
## 59 9 N 16093 5 N 5 28.3
## 60 9 N 16093 5 N 5 27.8
## 61 9 N 16093 5 N 5 27.2
## 62 M N 14484 5 N 5 27.2
## 63 M N 16093 5 N 5 30.6
## 64 9 N 16093 5 N 5 32.2
## 65 9 N 16093 5 N 5 35.0
## 66 9 N 16093 5 N 5 36.7
## 67 9 N 16093 5 N 5 38.9
## 68 9 N 16093 5 N 5 40.0
## 69 M N 16093 5 N 5 41.7
## 70 M N 16093 5 N 5 41.7
## 71 M N 16093 5 N 5 41.7
## 72 M N 16093 5 N 5 41.7
## 73 9 N 16093 5 N 5 40.6
## 74 9 N 16093 5 N 5 38.9
## 75 9 N 16093 5 N 5 37.2
## 76 9 N 16093 5 N 5 35.6
## 77 9 N 16093 5 N 5 34.4
## 78 9 N 16093 5 N 5 33.3
## 79 9 N 16093 5 N 5 31.7
## 80 9 N 16093 5 N 5 31.1
## 81 9 N 16093 5 N 5 30.0
## 82 9 N 16093 5 N 5 28.9
## 83 9 N 16093 5 N 5 28.3
## 84 9 N 16093 5 N 5 28.3
## 85 9 N 16093 5 N 5 27.2
## 86 9 N 16093 5 N 5 27.8
## 87 9 N 16093 5 N 5 29.4
## 88 9 N 16093 5 N 5 33.3
## 89 9 N 16093 5 N 5 35.6
## 90 9 N 16093 5 N 5 37.8
## 91 9 N 16093 5 N 5 38.9
## 92 9 N 16093 5 N 5 39.4
## 93 9 N 16093 5 N 5 41.1
## 94 9 N 16093 5 N 5 41.7
## 95 9 N 16093 5 N 5 41.7
## 96 9 N 16093 5 N 5 41.1
## 97 9 N 16093 5 N 5 41.1
## 98 9 N 16093 5 N 5 39.4
## 99 9 N 16093 5 N 5 37.2
## 100 9 N 16093 5 N 5 35.6
## 101 9 N 16093 5 N 5 35.6
## 102 9 N 16093 5 N 5 32.8
## 103 9 N 16093 5 N 5 32.2
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## 105 9 N 16093 5 N 5 28.3
## 106 9 N 16093 5 N 5 28.3
## 107 9 N 16093 5 N 5 28.3
## 108 9 N 16093 5 N 5 28.3
## 109 9 N 16093 5 N 5 27.2
## 110 9 N 16093 5 N 5 27.8
## 111 9 N 16093 5 N 5 28.3
## 112 9 N 12875 5 N 5 32.8
## 113 9 N 16093 5 N 5 36.7
## 114 9 N 16093 5 N 5 38.3
## 115 9 N 16093 5 N 5 40.6
## 116 9 N 16093 5 N 5 41.1
## 117 9 N NA 9 N 5 NA
## 118 9 N 16093 5 N 5 43.3
## 119 9 N 16093 5 N 5 43.3
## 120 9 N 16093 5 N 5 43.3
## 121 9 N 16093 5 N 5 42.2
## 122 M N 16093 5 N 5 40.6
## 123 M N 16093 5 N 5 38.9
## 124 9 N 16093 5 N 5 37.8
## 125 9 N 16093 5 N 5 36.1
## 126 9 N 16093 5 N 5 34.4
## 127 9 N 16093 5 N 5 34.4
## 128 9 N 16093 5 N 5 32.8
## 129 9 N 16093 5 N 5 32.2
## 130 9 N 16093 5 N 5 31.7
## 131 9 N 16093 5 N 5 31.1
## 132 9 N 16093 5 N 5 31.1
## 133 9 N 16093 5 N 5 29.4
## 134 9 N 16093 5 N 5 30.6
## 135 M N 16093 5 N 5 30.0
## 136 M N 16093 5 N 5 30.6
## 137 M N 16093 5 N 5 33.3
## 138 M N 16093 5 N 5 32.8
## 139 M N 16093 5 N 5 33.9
## 140 M N 16093 5 N 5 36.1
## 141 M N 16093 5 N 5 36.7
## 142 M N 16093 5 N 5 37.8
## 143 M N 16093 5 N 5 37.8
## 144 M N 16093 5 N 5 39.4
## 145 M N 16093 5 N 5 38.9
## 146 M N 16093 5 N 5 37.8
## 147 M N 16093 5 N 5 36.7
## 148 M N 16093 5 N 5 35.0
## 149 M N 16093 5 N 5 33.9
## 150 M N 16093 5 N 5 32.8
## 151 9 N 16093 5 N 5 32.2
## 152 9 N 16093 5 N 5 31.7
## 153 9 9 NA 9 9 9 NA
## 154 9 N 16093 5 N 5 29.4
## 155 9 N 16093 5 N 5 30.0
## 156 9 N 16093 5 N 5 28.3
## 157 9 N 16093 5 N 5 28.9
## 158 9 N 16093 5 N 5 27.8
## 159 9 N 16093 5 N 5 28.9
## 160 9 N 11265 5 N 5 30.6
## 161 M N 16093 5 N 5 33.3
## 162 M N 16093 5 N 5 34.4
## 163 M N 16093 5 N 5 35.0
## 164 M N 16093 5 N 5 36.7
## 165 M N 16093 5 N 5 37.0
## 166 M N 16093 5 N 5 37.2
## 167 M N 16093 5 N 5 38.3
## 168 M N 16093 5 N 5 38.3
## 169 9 N 16093 5 N 5 37.8
## 170 M N 16093 5 N 5 38.3
## 171 9 N 16093 5 N 5 37.2
## 172 9 N 16093 5 N 5 36.1
## 173 9 N 16093 5 N 5 33.9
## 174 9 N 16093 5 N 5 32.8
## 175 9 N 16093 5 N 5 31.1
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## 178 9 N 16093 5 N 5 28.3
## 179 9 9 NA 9 9 9 NA
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## 183 9 N 16093 5 N 5 26.7
## 184 9 N 16093 5 N 5 25.0
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## 190 9 N 16093 5 N 5 36.7
## 191 9 N 16093 5 N 5 36.7
## 192 9 N 16093 5 N 5 38.3
## 193 9 N 16093 5 N 5 37.8
## 194 9 N 16093 5 N 5 39.4
## 195 9 N 16093 5 N 5 38.9
## 196 9 N 16093 5 N 5 38.3
## 197 9 N 16093 5 N 5 36.7
## 198 9 N 14484 5 N 5 34.4
## 199 9 N 16093 5 N 5 32.8
## 200 9 N 16093 5 N 5 31.1
## 201 9 N 16093 5 N 5 30.6
## 202 9 N 16093 5 N 5 28.3
## 203 9 N 16093 5 N 5 27.2
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## 205 9 N 16093 5 N 5 25.0
## 206 9 N 16093 5 N 5 25.0
## 207 9 N 16093 1 9 9 23.9
## 208 9 N 16093 5 N 5 23.3
## 209 9 N 16093 5 N 5 22.2
## 210 9 N 16093 5 N 5 24.4
## 211 9 N 16093 5 N 5 28.3
## 212 9 N 16093 5 N 5 31.1
## 213 9 N 16093 5 N 5 33.9
## 214 9 N 16093 5 N 5 34.4
## 215 9 N 16093 5 N 5 36.1
## 216 9 N 16093 5 N 5 36.7
## 217 9 N 16093 5 N 5 38.3
## 218 9 N 16093 5 N 5 37.2
## 219 9 N 16093 5 N 5 37.2
## 220 9 N 16093 5 N 5 36.7
## 221 9 N 16093 5 N 5 34.4
## 222 9 N 16093 5 N 5 32.2
## 223 9 N 16093 5 N 5 30.6
## 224 9 N 16093 5 N 5 30.6
## 225 9 N 16093 5 N 5 28.9
## 226 9 N 16093 5 N 5 26.7
## 227 9 N 16093 5 N 5 25.6
## 228 9 N 16093 5 N 5 25.6
## 229 9 N 16093 5 N 5 23.9
## 230 9 N 16093 5 N 5 23.9
## 231 9 N 16093 5 N 5 22.2
## 232 9 N 16093 5 N 5 21.1
## 233 9 N 16093 5 N 5 22.8
## 234 9 N 16093 5 N 5 24.4
## 235 9 N 16093 5 N 5 27.8
## 236 9 N 16093 5 N 5 30.6
## 237 9 N 16093 5 N 5 31.7
## 238 9 N 16093 5 N 5 33.3
## 239 9 N 16093 5 N 5 34.4
## 240 9 N 16093 5 N 5 36.1
## 241 9 N 16093 5 N 5 36.1
## 242 9 N 16093 5 N 5 36.7
## 243 9 N 16093 5 N 5 36.7
## 244 9 N 16093 5 N 5 35.0
## 245 9 N 16093 5 N 5 33.3
## 246 9 N 16093 5 N 5 31.1
## 247 9 N 16093 5 N 5 29.4
## 248 9 N 16093 5 N 5 28.3
## 249 9 N 16093 5 N 5 27.8
## 250 9 N 16093 5 N 5 26.1
## 251 9 N 16093 5 N 5 25.6
## 252 9 N 16093 5 N 5 25.0
## 253 9 N 16093 5 N 5 23.9
## 254 9 N 16093 5 N 5 23.9
## 255 9 N 16093 5 N 5 23.9
## 256 9 N 16093 5 N 5 22.2
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## 258 9 N 14484 5 N 5 23.9
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## 261 9 N 16093 5 N 5 30.6
## 262 9 N 16093 5 N 5 31.7
## 263 9 N 16093 5 N 5 33.3
## 264 9 N 16093 5 N 5 34.4
## 265 9 N 16093 5 N 5 35.6
## 266 9 N 16093 1 9 9 36.7
## 267 9 N 16093 1 9 9 36.7
## 268 9 N 16093 1 9 9 36.1
## 269 9 N 16093 1 9 9 35.6
## 270 9 N 16093 1 9 9 32.8
## 271 9 N 16093 1 9 9 30.6
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## 273 9 N 16093 1 9 9 28.3
## 274 9 N 16093 1 9 9 27.8
## 275 9 N 16093 1 9 9 26.7
## 276 9 N 16093 1 9 9 26.1
## 277 9 N 16093 1 9 9 25.6
## 278 9 N 16093 1 9 9 24.4
## 279 9 N 16093 1 9 9 23.9
## 280 9 N 16093 1 9 9 22.8
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## 286 9 N 16093 1 9 9 35.0
## 287 9 N 16093 1 9 9 36.1
## 288 9 N 16093 5 N 5 36.7
## 289 9 N 16093 5 N 5 37.8
## 290 9 N 16093 5 N 5 38.3
## 291 9 N 16093 5 N 5 37.8
## 292 9 N 16093 5 N 5 37.2
## 293 9 N 16093 1 9 9 36.1
## 294 9 N 16093 1 9 9 33.9
## 295 9 N 16093 5 N 5 32.2
## 296 9 N 16093 1 9 9 31.1
## 297 9 N 16093 5 N 5 30.6
## 298 9 N 14484 5 N 5 28.3
## 299 9 N 16093 5 N 5 28.3
## 300 9 N 16093 5 N 5 26.7
## 301 9 N 16093 5 N 5 25.6
## 302 9 N 16093 5 N 5 25.6
## 303 9 N 16093 5 N 5 23.9
## 304 9 N 16093 1 9 9 23.9
## 305 9 N 12875 5 N 5 24.4
## 306 9 N 12875 5 N 5 26.7
## 307 9 N 16093 5 N 5 29.4
## 308 9 N 16093 5 N 5 32.8
## 309 9 N 16093 5 N 5 35.0
## 310 9 N 16093 5 N 5 36.1
## 311 9 N 16093 5 N 5 37.8
## 312 9 N 16093 5 N 5 38.9
## 313 9 N 16093 5 N 5 39.4
## 314 9 N 16093 5 N 5 40.0
## 315 9 N 16093 5 N 5 40.6
## 316 9 N 16093 5 N 5 39.4
## 317 9 N 16093 5 N 5 37.8
## 318 9 N 16093 5 N 5 35.6
## 319 9 N 16093 5 N 5 33.9
## 320 9 N 16093 5 N 5 32.8
## 321 9 N 16093 5 N 5 32.2
## 322 9 N 16093 5 N 5 30.6
## 323 9 N 16093 5 N 5 28.9
## 324 9 N 16093 5 N 5 27.2
## 325 9 N 16093 5 N 5 26.1
## 326 9 N 16093 5 N 5 25.6
## 327 9 N 16093 5 N 5 25.6
## 328 9 N 16093 5 N 5 24.4
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## 331 9 N 11265 5 N 5 30.6
## 332 9 N 16093 5 N 5 34.4
## 333 9 N 16093 5 N 5 37.2
## 334 9 N 16093 5 N 5 38.3
## 335 9 N 16093 5 N 5 39.4
## 336 9 N 16093 5 N 5 40.6
## 337 9 N 16093 5 N 5 40.6
## 338 9 N 16093 5 N 5 41.1
## 339 9 N 16093 5 N 5 41.1
## 340 9 N 16093 5 N 5 41.1
## 341 9 N 16093 5 N 5 39.4
## 342 9 N 16093 5 N 5 36.7
## 343 9 N 16093 5 N 5 35.0
## 344 9 N 16093 5 N 5 33.3
## 345 9 N 6437 5 N 5 31.7
## 346 9 N 16093 5 N 5 30.6
## 347 9 N 16093 5 N 5 30.0
## 348 9 9 NA 9 9 9 NA
## 349 9 N 16093 5 N 5 28.9
## 350 9 N 16093 5 N 5 28.9
## 351 9 N 16093 5 N 5 26.7
## 352 9 N 16093 5 N 5 27.2
## 353 9 N 14484 1 9 9 25.6
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## 355 9 N 14484 5 N 5 27.8
## 356 9 N 14484 5 N 5 31.7
## 357 9 N 16093 5 N 5 35.0
## 358 9 N 16093 5 N 5 37.8
## 359 9 N 16093 5 N 5 40.0
## 360 9 N 16093 5 N 5 41.1
## 361 9 N 16093 5 N 5 42.2
## 362 9 N 16093 5 N 5 42.2
## 363 9 N 16093 5 N 5 42.8
## 364 9 N 16093 5 N 5 41.7
## 365 9 N 16093 5 N 5 41.1
## 366 9 N 16093 5 N 5 38.9
## 367 9 N 16093 5 N 5 36.1
## 368 9 N 16093 5 N 5 34.4
## 369 9 N 16093 5 N 5 32.2
## 370 9 N 16093 5 N 5 31.1
## 371 9 N 16093 5 N 5 30.6
## 372 9 N 16093 5 N 5 31.1
## 373 9 N 16093 5 N 5 28.9
## 374 9 N 16093 5 N 5 27.8
## 375 9 N 16093 5 N 5 27.8
## 376 9 N 16093 5 N 5 26.7
## 377 9 N 16093 5 N 5 26.1
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## 379 9 N 16093 5 N 5 27.2
## 380 9 N 16093 5 N 5 31.1
## 381 9 N 16093 5 N 5 35.0
## 382 9 N 16093 5 N 5 37.2
## 383 9 N 16093 5 N 5 39.4
## 384 9 N 16093 5 N 5 40.0
## 385 9 N 16093 5 N 5 39.4
## 386 9 N 16093 5 N 5 40.6
## 387 9 N 16093 5 N 5 41.1
## 388 9 N 16093 5 N 5 41.1
## 389 9 N 16093 5 N 5 39.4
## 390 9 N 16093 5 N 5 37.2
## 391 9 N 16093 5 N 5 35.0
## 392 9 N 16093 5 N 5 33.3
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## 396 9 N 16093 5 N 5 29.4
## 397 9 N 16093 5 N 5 28.3
## 398 9 N 16093 5 N 5 28.3
## 399 9 N 16093 5 N 5 25.0
## 400 9 N 16093 5 N 5 24.4
## 401 9 N 16093 5 N 5 23.3
## 402 9 N 14484 5 N 5 23.3
## 403 9 N 11265 5 N 5 26.1
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## 405 9 N 16093 5 N 5 33.3
## 406 9 N 16093 5 N 5 36.7
## 407 9 N 16093 5 N 5 37.8
## 408 9 N 16093 5 N 5 37.2
## 409 9 N 16093 5 N 5 39.4
## 410 9 N 16093 5 N 5 39.4
## 411 9 N 16093 5 N 5 39.4
## 412 9 N 16093 5 N 5 39.4
## 413 9 N 16093 5 N 5 38.3
## 414 9 N 16093 5 N 5 35.6
## 415 9 N 16093 5 N 5 32.8
## 416 9 N 16093 5 N 5 30.6
## 417 9 N 16093 5 N 5 30.6
## 418 9 N 16093 5 N 5 30.0
## 419 9 N 16093 5 N 5 27.2
## 420 9 N 16093 5 N 5 26.7
## 421 9 N 16093 5 N 5 25.0
## 422 9 N 16093 5 N 5 26.1
## 423 9 N 16093 5 N 5 22.2
## 424 9 N 16093 5 N 5 21.7
## 425 9 N 16093 5 N 5 21.1
## 426 9 N 16093 5 N 5 20.6
## 427 9 N 16093 5 N 5 23.9
## 428 9 N 16093 5 N 5 27.2
## 429 9 N 16093 5 N 5 31.1
## 430 9 N 16093 5 N 5 35.0
## 431 9 N 16093 5 N 5 35.6
## 432 9 N 16093 5 N 5 36.7
## 433 M N 16093 5 N 5 37.8
## 434 M N 16093 5 N 5 37.8
## 435 9 N 16093 5 N 5 38.3
## 436 9 N 16093 5 N 5 37.2
## 437 9 N 16093 5 N 5 36.7
## 438 9 N 16093 5 N 5 35.0
## 439 9 N 16093 5 N 5 32.8
## 440 9 N 16093 5 N 5 31.1
## 441 9 N 16093 5 N 5 30.6
## 442 9 N 16093 5 N 5 28.9
## 443 9 N 16093 5 N 5 27.2
## 444 9 N 16093 5 N 5 26.1
## 445 9 N 16093 5 N 5 25.0
## 446 9 N 16093 5 N 5 24.4
## 447 9 N 16093 5 N 5 23.3
## 448 9 N 16093 5 N 5 20.6
## 449 9 N 16093 5 N 5 21.7
## 450 9 N 14484 5 N 5 22.8
## 451 9 N 16093 5 N 5 23.9
## 452 9 N 9656 5 N 5 27.2
## 453 9 N 16093 5 N 5 31.7
## 454 9 N 16093 5 N 5 33.9
## 455 9 N 16093 5 N 5 35.6
## 456 9 N 16093 5 N 5 37.2
## 457 9 N 16093 5 N 5 37.8
## 458 9 N 16093 5 N 5 38.9
## 459 9 N 16093 5 N 5 39.4
## 460 9 N 16093 5 N 5 38.9
## 461 9 N 16093 5 N 5 37.8
## 462 9 N 16093 5 N 5 35.6
## 463 9 N 16093 5 N 5 33.3
## 464 9 N 16093 5 N 5 31.7
## 465 9 N 16093 5 N 5 30.6
## 466 9 N 16093 5 N 5 27.2
## 467 9 N 16093 5 N 5 28.9
## 468 9 N 16093 5 N 5 27.2
## 469 9 9 NA 9 9 9 NA
## 470 9 N 16093 5 N 5 25.0
## 471 9 N 16093 5 N 5 25.0
## 472 9 N 16093 5 N 5 23.9
## 473 9 N 16093 5 N 5 23.3
## 474 9 N 16093 5 N 5 21.7
## 475 9 N 16093 5 N 5 23.9
## 476 9 N 12875 5 N 5 25.6
## 477 9 N 16093 5 N 5 28.3
## 478 9 N 16093 5 N 5 31.7
## 479 9 N 16093 5 N 5 36.7
## 480 9 N 16093 5 N 5 38.3
## 481 9 N 16093 5 N 5 38.9
## 482 9 N 16093 5 N 5 40.0
## 483 9 N 16093 5 N 5 40.0
## 484 9 N 16093 5 N 5 40.6
## 485 9 N 16093 5 N 5 40.0
## 486 9 N 16093 5 N 5 38.9
## 487 9 N 16093 5 N 5 34.4
## 488 9 N 16093 5 N 5 32.8
## 489 9 N 14484 5 N 5 32.2
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## 491 9 N 16093 5 N 5 30.6
## 492 9 N 16093 5 N 5 29.4
## 493 9 N 16093 5 N 5 28.9
## 494 9 N 16093 5 N 5 27.2
## 495 9 N 16093 5 N 5 26.1
## 496 9 N 16093 5 N 5 25.0
## 497 9 N 16093 5 N 5 25.0
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## 499 9 N 14484 5 N 5 28.3
## 500 9 N 16093 5 N 5 30.6
## 501 9 N 16093 5 N 5 33.3
## 502 9 N 16093 5 N 5 35.6
## 503 9 N 16093 5 N 5 37.8
## 504 9 N 16093 5 N 5 40.0
## 505 9 N 16093 5 N 5 40.6
## 506 9 N 16093 5 N 5 41.7
## 507 9 N 16093 5 N 5 41.7
## 508 9 N 16093 5 N 5 41.7
## 509 9 N 16093 5 N 5 41.1
## 510 9 N 16093 5 N 5 39.4
## 511 9 N 16093 5 N 5 36.1
## 512 9 N 16093 5 N 5 34.4
## 513 9 N 16093 5 N 5 33.3
## 514 9 N 16093 5 N 5 31.7
## 515 9 N 16093 5 N 5 30.6
## 516 9 N 16093 5 N 5 28.3
## 517 9 N 16093 5 N 5 27.8
## 518 9 N 16093 5 N 5 26.1
## 519 9 N 16093 5 N 5 26.1
## 520 9 N 16093 5 N 5 23.9
## 521 9 N 16093 5 N 5 23.3
## 522 9 N 12875 5 N 5 22.8
## 523 9 N 16093 5 N 5 26.7
## 524 9 N 16093 5 N 5 28.9
## 525 9 N 16093 5 N 5 31.7
## 526 9 N 16093 5 N 5 34.4
## 527 9 N 16093 5 N 5 36.7
## 528 9 N 16093 5 N 5 38.9
## 529 9 N 16093 5 N 5 40.6
## 530 M N 16093 5 N 5 40.6
## 531 9 N 16093 5 N 5 41.1
## 532 9 N 16093 5 N 5 40.0
## 533 9 N 16093 5 N 5 38.3
## 534 9 N 16093 5 N 5 36.1
## 535 9 N 16093 5 N 5 33.9
## 536 9 N 16093 5 N 5 32.2
## 537 9 N 16093 5 N 5 31.1
## 538 9 N 16093 5 N 5 30.0
## 539 9 N 16093 5 N 5 27.8
## 540 9 N 16093 5 N 5 26.1
## 541 9 N 16093 5 N 5 24.4
## 542 9 N 16093 5 N 5 23.3
## 543 9 N 16093 5 N 5 22.2
## 544 9 N 16093 5 N 5 21.1
## 545 9 N 16093 5 N 5 21.1
## 546 9 N 4023 5 N 5 21.1
## 547 9 N 8047 5 N 5 21.7
## 548 9 N 16093 5 N 5 25.0
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## 550 9 N 16093 5 N 5 30.0
## 551 9 N 16093 5 N 5 32.2
## 552 9 N 16093 5 N 5 34.4
## 553 9 N 16093 5 N 5 36.1
## 554 9 N 16093 5 N 5 36.7
## 555 9 N 14484 5 N 5 38.9
## 556 9 N 16093 5 N 5 38.3
## 557 9 N 16093 5 N 5 37.2
## 558 9 N 16093 5 N 5 36.1
## 559 9 N 16093 5 N 5 34.4
## 560 9 N 16093 5 N 5 32.2
## 561 9 N 16093 5 N 5 31.1
## 562 9 N 16093 5 N 5 30.6
## 563 9 N 16093 5 N 5 29.4
## 564 9 N 16093 5 N 5 27.8
## 565 9 N 16093 5 N 5 27.8
## 566 9 9 NA 9 9 9 NA
## 567 9 N 16093 5 N 5 27.2
## 568 9 N 16093 5 N 5 26.1
## 569 9 N 16093 5 N 5 25.0
## 570 9 N 16093 5 N 5 24.4
## 571 9 N 16093 5 N 5 24.4
## 572 9 N 12875 5 N 5 23.9
## 573 9 N 16093 5 N 5 26.1
## 574 9 N 16093 5 N 5 27.8
## 575 9 N 16093 5 N 5 30.6
## 576 9 N 16093 5 N 5 32.2
## 577 9 N 16093 5 N 5 33.9
## 578 9 N 16093 5 N 5 35.6
## 579 9 N 16093 5 N 5 36.1
## 580 9 N 16093 5 N 5 37.8
## 581 9 N 16093 5 N 5 38.3
## 582 9 N 16093 5 N 5 38.3
## 583 9 N 16093 5 N 5 37.2
## 584 9 N 16093 5 N 5 35.0
## 585 9 N 16093 5 N 5 33.3
## 586 9 N 16093 5 N 5 32.2
## 587 9 N 16093 5 N 5 31.1
## 588 9 N 16093 5 N 5 30.6
## 589 9 N 16093 5 N 5 29.4
## 590 9 N 16093 5 N 5 29.4
## 591 9 N 16093 5 N 5 28.9
## 592 9 N 16093 5 N 5 27.8
## 593 9 N 16093 5 N 5 27.8
## 594 9 N 16093 5 N 5 27.2
## 595 9 N 16093 5 N 5 25.6
## 596 9 N 14484 5 N 5 25.6
## 597 9 N 12875 5 N 5 27.2
## 598 9 N 16093 5 N 5 30.0
## 599 9 N 16093 5 N 5 32.2
## 600 9 N 16093 5 N 5 34.4
## 601 9 N 16093 5 N 5 36.1
## 602 9 N 16093 5 N 5 37.2
## 603 9 N 16093 5 N 5 37.8
## 604 9 N 16093 5 N 5 38.9
## 605 9 N 16093 5 N 5 38.9
## 606 9 N 16093 5 N 5 38.9
## 607 9 N 16093 5 N 5 37.8
## 608 9 N 16093 5 N 5 36.7
## 609 9 N 16093 5 N 5 33.9
## 610 9 N 16093 5 N 5 33.3
## 611 9 N 16093 5 N 5 32.8
## 612 9 N 16093 5 N 5 31.7
## 613 9 N 16093 5 N 5 31.1
## 614 9 N 16093 5 N 5 30.0
## 615 9 N 16093 5 N 5 28.9
## 616 9 N 16093 5 N 5 27.8
## 617 9 N 16093 5 N 5 28.3
## 618 9 N 16093 5 N 5 28.3
## 619 9 N 16093 5 N 5 27.8
## 620 9 N 16093 5 N 5 27.8
## 621 9 N 12875 5 N 5 27.2
## 622 9 N 16093 5 N 5 31.7
## 623 9 N 16093 5 N 5 34.4
## 624 9 N 16093 5 N 5 35.6
## 625 9 N 16093 5 N 5 37.8
## 626 9 N 16093 5 N 5 38.3
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## 2824 9 N 16093 5 N 5 24.0
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## 2826 9 N 16093 5 N 5 23.0
## 2827 9 N 16093 5 N 5 23.0
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## 2830 9 N 16093 5 N 5 26.0
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## 2832 9 N 16093 5 N 5 28.0
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## 2834 9 N 16093 5 N 5 29.0
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## 2836 9 N 16093 5 N 5 30.0
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## 2856 9 N 16093 5 N 5 39.0
## 2857 9 N 16093 5 N 5 37.0
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## 2868 9 N 16093 5 N 5 33.0
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## 2872 9 N 16093 5 N 5 31.0
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## 2877 9 N 16093 5 N 5 30.0
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## 2880 9 N 16093 5 N 5 29.0
## 2881 9 9 NA 9 9 9 NA
## 2882 9 N 16093 5 N 5 29.0
## 2883 9 N 16093 5 N 5 28.0
## 2884 9 N 16093 5 N 5 28.0
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## 2886 9 N 16093 5 N 5 28.0
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## 2888 9 N 16093 5 N 5 27.0
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## 2940 9 N 16093 5 N 5 27.0
## 2941 9 N 16093 5 N 5 26.0
## temp.qc dew.point dew.point.qc atm.press atm.press.qc rh CTRY
## 1 5 10.6 5 1009.9 5 19.881266 US
## 2 5 10.6 5 1010.3 5 21.760980 US
## 3 5 7.2 5 1010.6 5 18.482122 US
## 4 5 5.0 5 1011.6 5 16.888622 US
## 5 5 5.0 5 1012.7 5 17.384101 US
## 6 5 5.6 5 1012.7 5 20.015403 US
## 7 5 6.1 5 1012.8 5 22.899111 US
## 8 5 6.7 5 1012.8 5 24.585783 US
## 9 5 7.8 5 1012.5 5 29.329834 US
## 10 5 7.8 5 1012.7 5 30.218128 US
## 11 1 8.3 1 1012.8 1 31.265631 US
## 12 1 9.4 1 1013.0 1 35.975075 US
## 13 5 6.7 5 1013.6 5 29.933337 US
## 14 5 5.6 5 1014.6 5 27.739048 US
## 15 5 5.6 5 1015.0 5 24.314684 US
## 16 5 5.0 5 1015.0 5 19.761503 US
## 17 5 8.3 5 1014.8 5 21.233582 US
## 18 5 6.1 5 1014.6 5 15.987941 US
## 19 5 5.0 5 1014.1 5 13.514488 US
## 20 5 4.4 5 1013.3 5 12.172839 US
## 21 5 5.0 5 1012.2 5 11.942026 US
## 22 5 5.0 5 1011.5 5 11.548719 US
## 23 5 2.2 5 1010.8 5 9.448417 US
## 24 5 2.2 5 1010.3 5 9.448417 US
## 25 5 1.1 5 1010.0 5 9.018086 US
## 26 5 2.2 5 1010.2 5 10.692597 US
## 27 5 2.8 5 1010.5 5 12.297689 US
## 28 5 3.3 5 1011.3 5 13.574356 US
## 29 5 3.3 5 1012.0 5 14.970654 US
## 30 5 3.3 5 1012.0 5 16.429419 US
## 31 5 2.8 5 1012.3 5 18.692471 US
## 32 5 2.2 5 1012.0 5 16.194718 US
## 33 5 2.2 5 1011.9 5 18.555912 US
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## 40 5 -1.1 5 1014.3 5 11.927266 US
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## 63 5 2.2 5 1012.5 5 16.194718 US
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## 65 5 0.6 5 1012.2 5 11.163048 US
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## 117 9 NA 9 NA 9 NA US
## 118 5 -1.1 5 1009.1 5 6.165304 US
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## 146 5 7.8 5 1008.8 5 15.884156 US
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## 153 9 NA 9 NA 9 NA US
## 154 5 11.7 5 1010.3 5 33.480368 US
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## 157 5 9.4 5 1010.7 5 29.563479 US
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## 179 9 NA 9 NA 9 NA US
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## 215 5 -3.9 5 1010.3 5 7.479895 US
## 216 5 -5.6 5 1009.6 5 6.337464 US
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## 221 5 -2.8 5 1007.8 5 8.971297 US
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## 223 5 1.1 5 1008.9 5 14.955981 US
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## 226 5 1.1 5 1010.1 5 18.863357 US
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## 242 5 -11.7 5 1008.4 5 3.883587 US
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## 252 5 3.3 5 1011.3 5 24.473412 US
## 253 5 4.4 5 1011.4 5 28.276991 US
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## 255 5 7.2 5 1012.2 5 34.334429 US
## 256 5 7.8 5 1012.9 5 39.682832 US
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## 262 5 2.2 5 1013.4 5 15.183446 US
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## 266 1 -2.8 1 1010.3 1 7.858592 US
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## 271 1 1.1 1 1010.8 1 14.955981 US
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## 1905 5 16.0 5 NA 9 25.660958 US
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## 1911 5 17.0 5 NA 9 25.893239 US
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## 1913 5 17.0 5 NA 9 25.893239 US
## 1914 5 17.0 5 NA 9 25.893239 US
## 1915 C 17.0 C NA 9 27.362583 US
## 1916 5 17.0 5 NA 9 27.362583 US
## 1917 5 17.0 5 NA 9 28.923820 US
## 1918 C 18.0 C NA 9 30.824487 US
## 1919 5 18.0 5 NA 9 32.591315 US
## 1920 5 18.0 5 NA 9 32.591315 US
## 1921 C 18.0 C NA 9 34.469822 US
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## 1923 5 18.0 5 NA 9 36.467752 US
## 1924 C 18.0 C NA 9 38.593436 US
## 1925 5 18.0 5 NA 9 38.593436 US
## 1926 5 18.0 5 NA 9 38.593436 US
## 1927 C 18.0 C NA 9 40.855837 US
## 1928 5 18.0 5 NA 9 43.264610 US
## 1929 5 18.0 5 NA 9 43.264610 US
## 1930 C 18.0 C NA 9 43.264610 US
## 1931 5 18.0 5 NA 9 45.830148 US
## 1932 5 18.0 5 NA 9 45.830148 US
## 1933 C 18.0 C NA 9 48.563655 US
## 1934 5 18.0 5 NA 9 45.830148 US
## 1935 5 18.0 5 NA 9 45.830148 US
## 1936 C 19.0 C NA 9 48.800317 US
## 1937 9 NA 9 NA 9 NA US
## 1938 5 19.0 5 NA 9 51.708430 US
## 1939 5 19.0 5 NA 9 51.708430 US
## 1940 C 19.0 C NA 9 54.807956 US
## 1941 5 19.0 5 NA 9 54.807956 US
## 1942 5 19.0 5 NA 9 54.807956 US
## 1943 C 19.0 C NA 9 58.112734 US
## 1944 5 19.0 5 NA 9 58.112734 US
## 1945 5 19.0 5 NA 9 58.112734 US
## 1946 C 19.0 C NA 9 58.112734 US
## 1947 5 19.0 5 NA 9 61.637697 US
## 1948 5 20.0 5 NA 9 65.587542 US
## 1949 C 20.0 C NA 9 69.586484 US
## 1950 5 20.0 5 NA 9 69.586484 US
## 1951 5 21.0 5 NA 9 74.006764 US
## 1952 C 21.0 C NA 9 74.006764 US
## 1953 5 21.0 5 NA 9 74.006764 US
## 1954 5 21.0 5 NA 9 78.542699 US
## 1955 C 21.0 C NA 9 83.386117 US
## 1956 5 21.0 5 NA 9 83.386117 US
## 1957 5 21.0 5 NA 9 83.386117 US
## 1958 C 22.0 C NA 9 78.670807 US
## 1959 5 22.0 5 NA 9 74.156797 US
## 1960 5 22.0 5 NA 9 69.925856 US
## 1961 C 21.0 C NA 9 65.774110 US
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## 1968 5 19.0 5 NA 9 41.100697 US
## 1969 5 19.0 5 NA 9 38.838842 US
## 1970 C 19.0 C NA 9 36.712831 US
## 1971 5 19.0 5 NA 9 36.712831 US
## 1972 5 19.0 5 NA 9 34.713813 US
## 1973 C 19.0 C NA 9 34.713813 US
## 1974 5 18.0 5 NA 9 32.591315 US
## 1975 5 19.0 5 NA 9 32.833555 US
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## 1977 5 18.0 5 NA 9 29.162135 US
## 1978 5 18.0 5 NA 9 29.162135 US
## 1979 C 18.0 C NA 9 29.162135 US
## 1980 5 18.0 5 NA 9 27.597557 US
## 1981 5 17.0 5 NA 9 25.893239 US
## 1982 C 17.0 C NA 9 28.923820 US
## 1983 5 17.0 5 NA 9 27.362583 US
## 1984 5 17.0 5 NA 9 25.893239 US
## 1985 C 17.0 C NA 9 28.923820 US
## 1986 5 16.0 5 NA 9 27.126501 US
## 1987 5 17.0 5 NA 9 27.362583 US
## 1988 C 16.0 C NA 9 25.660958 US
## 1989 5 16.0 5 NA 9 25.660958 US
## 1990 5 16.0 5 NA 9 25.660958 US
## 1991 C 16.0 C NA 9 27.126501 US
## 1992 5 16.0 5 NA 9 28.684291 US
## 1993 5 16.0 5 NA 9 28.684291 US
## 1994 C 16.0 C NA 9 30.340693 US
## 1995 5 16.0 5 NA 9 30.340693 US
## 1996 5 17.0 5 NA 9 34.224302 US
## 1997 C 17.0 C NA 9 36.221040 US
## 1998 5 17.0 5 NA 9 36.221040 US
## 1999 5 17.0 5 NA 9 36.221040 US
## 2000 C 17.0 C NA 9 38.346296 US
## 2001 5 17.0 5 NA 9 38.346296 US
## 2002 5 18.0 5 NA 9 40.855837 US
## 2003 C 18.0 C NA 9 43.264610 US
## 2004 5 19.0 5 NA 9 46.070783 US
## 2005 5 20.0 5 NA 9 51.937570 US
## 2006 C 22.0 C NA 9 58.745615 US
## 2007 5 22.0 5 NA 9 58.745615 US
## 2008 5 22.0 5 NA 9 58.745615 US
## 2009 C 22.0 C NA 9 62.237475 US
## 2010 9 NA 9 NA 9 NA US
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## 2012 5 23.0 5 NA 9 70.092752 US
## 2013 C 23.0 C NA 9 70.092752 US
## 2014 5 22.0 5 NA 9 69.925856 US
## 2015 5 22.0 5 NA 9 69.925856 US
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## 2017 5 22.0 5 NA 9 74.156797 US
## 2018 5 22.0 5 NA 9 74.156797 US
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## 2904 TX 31.12371 -98.01178
## 2905 TX 31.12371 -98.01178
## 2906 TX 31.12371 -98.01178
## 2907 TX 31.12371 -98.01178
## 2908 TX 31.12371 -98.01178
## 2909 TX 31.12371 -98.01178
## 2910 TX 31.12371 -98.01178
## 2911 TX 31.12371 -98.01178
## 2912 TX 31.12371 -98.01178
## 2913 TX 31.12371 -98.01178
## 2914 TX 31.12371 -98.01178
## 2915 TX 31.12371 -98.01178
## 2916 TX 31.12371 -98.01178
## 2917 TX 31.12371 -98.01178
## 2918 TX 31.12371 -98.01178
## 2919 TX 31.12371 -98.01178
## 2920 TX 31.12371 -98.01178
## 2921 TX 31.12371 -98.01178
## 2922 TX 31.12371 -98.01178
## 2923 TX 31.12371 -98.01178
## 2924 TX 31.12371 -98.01178
## 2925 TX 31.12371 -98.01178
## 2926 TX 31.12371 -98.01178
## 2927 TX 31.12371 -98.01178
## 2928 TX 31.12371 -98.01178
## 2929 TX 31.12371 -98.01178
## 2930 TX 31.12371 -98.01178
## 2931 TX 31.12371 -98.01178
## 2932 TX 31.12371 -98.01178
## 2933 TX 31.12371 -98.01178
## 2934 TX 31.12371 -98.01178
## 2935 TX 31.12371 -98.01178
## 2936 TX 31.12371 -98.01178
## 2937 TX 31.12371 -98.01178
## 2938 TX 31.12371 -98.01178
## 2939 TX 31.12371 -98.01178
## 2940 TX 31.12371 -98.01178
## 2941 TX 31.12371 -98.01178
## [ reached 'max' / getOption("max.print") -- omitted 2374402 rows ]euc_dis <- merged %>% mutate(
distance = ((lat.x -merged$lat.y )^2 +
(lon.x -merged$lon.y)^2
)^(1/2))
result2 <- euc_dis %>%
group_by(STATE) %>%
slice(which.min(distance))
result2## # A tibble: 48 × 35
## # Groups: STATE [48]
## USAFID WBAN year month day hour min lat.x lon.x elev wind.…¹ wind.…²
## <int> <int> <int> <int> <int> <int> <int> <dbl> <dbl> <int> <int> <chr>
## 1 722300 53864 2019 8 13 0 53 33.2 -86.8 179 220 1
## 2 723429 53920 2019 8 13 0 53 35.3 -93.1 123 NA 9
## 3 723745 374 2019 8 1 0 15 34.3 -111. 1572 NA 9
## 4 723890 93193 2019 8 1 0 0 36.8 -120. 100 300 1
## 5 726396 422 2019 8 1 0 10 39.0 -106. 3438 40 5
## 6 725027 54788 2019 8 1 0 53 41.5 -72.8 32 NA 9
## 7 724088 13707 2019 8 1 0 18 39.1 -75.5 9 70 5
## 8 722014 12818 2019 8 1 0 53 28.5 -82.5 23 150 5
## 9 722175 13860 2019 8 8 16 56 32.6 -83.6 90 NA 9
## 10 725466 4938 2019 8 1 0 15 41.7 -93.6 277 NA 9
## # … with 38 more rows, 23 more variables: wind.type.code <chr>, wind.sp <dbl>,
## # wind.sp.qc <chr>, ceiling.ht <int>, ceiling.ht.qc <int>,
## # ceiling.ht.method <chr>, sky.cond <chr>, vis.dist <int>, vis.dist.qc <chr>,
## # vis.var <chr>, vis.var.qc <chr>, temp <dbl>, temp.qc <chr>,
## # dew.point <dbl>, dew.point.qc <chr>, atm.press <dbl>, atm.press.qc <int>,
## # rh <dbl>, CTRY <chr>, STATE <chr>, lat.y <dbl>, lon.y <dbl>,
## # distance <dbl>, and abbreviated variable names ¹wind.dir, ²wind.dir.qc#check for duplicates
length(unique(result$STATE)) == nrow(result)## [1] TRUElibrary(leaflet)
# uni_data
leaflet(result) %>% addProviderTiles('OpenStreetMap') %>%
addCircleMarkers(lng = ~lon, lat = ~lat,fillColor = "Purple", weight = 0 )%>%
addCircleMarkers(lng = ~result2$lon.x, lat = ~result2$lat.x,fillColor = "Green", weight = 0) Knit the doc and save it on GitHub.
Question 4: Means of means
Using the quantile() function, generate a summary table
that shows the number of states included, average temperature,
wind-speed, and atmospheric pressure by the variable “average
temperature level,” which you’ll need to create.
Start by computing the states’ average temperature. Use that measurement to classify them according to the following criteria:
- low: temp < 20
- Mid: temp >= 20 and temp < 25
- High: temp >= 25
#average temp for each state
met_avg_temp_lz <- met_lz %>% group_by(STATE) %>% summarise(
across (c(temp), function(x) mean(x,na.rm=TRUE)))
merged_q4 <- met_lz %>% left_join(met_avg_temp_lz, by = "STATE")
# merged_q4 %>% as.data.frame()
#based on average temp,
summary_cat <- merged_q4 %>% mutate( temp_cat = case_when(
temp.y < 20 ~ "low",
temp.y>= 20 & temp.y < 25 ~ "Mid",
temp.y>= 25 ~ "High"
))
summary_cat%>% as.data.frame()## USAFID WBAN year month day hour min lat lon elev wind.dir
## 1 690150 93121 2019 8 1 0 56 34.300 -116.166 696 220
## 2 690150 93121 2019 8 1 1 56 34.300 -116.166 696 230
## 3 690150 93121 2019 8 1 2 56 34.300 -116.166 696 230
## 4 690150 93121 2019 8 1 3 56 34.300 -116.166 696 210
## 5 690150 93121 2019 8 1 4 56 34.300 -116.166 696 120
## 6 690150 93121 2019 8 1 5 56 34.300 -116.166 696 NA
## 7 690150 93121 2019 8 1 6 56 34.300 -116.166 696 320
## 8 690150 93121 2019 8 1 7 56 34.300 -116.166 696 10
## 9 690150 93121 2019 8 1 8 56 34.300 -116.166 696 320
## 10 690150 93121 2019 8 1 9 56 34.300 -116.166 696 350
## 11 690150 93121 2019 8 1 10 56 34.296 -116.162 625 360
## 12 690150 93121 2019 8 1 11 56 34.296 -116.162 625 310
## 13 690150 93121 2019 8 1 12 56 34.300 -116.166 696 NA
## 14 690150 93121 2019 8 1 13 56 34.300 -116.166 696 NA
## 15 690150 93121 2019 8 1 14 56 34.300 -116.166 696 NA
## 16 690150 93121 2019 8 1 15 56 34.300 -116.166 696 350
## 17 690150 93121 2019 8 1 16 56 34.300 -116.166 696 30
## 18 690150 93121 2019 8 1 17 56 34.300 -116.166 696 NA
## 19 690150 93121 2019 8 1 18 56 34.300 -116.166 696 NA
## 20 690150 93121 2019 8 1 19 56 34.300 -116.166 696 100
## 21 690150 93121 2019 8 1 20 56 34.300 -116.166 696 150
## 22 690150 93121 2019 8 1 21 56 34.300 -116.166 696 200
## 23 690150 93121 2019 8 1 22 56 34.300 -116.166 696 220
## 24 690150 93121 2019 8 1 23 56 34.300 -116.166 696 220
## 25 690150 93121 2019 8 2 0 56 34.300 -116.166 696 250
## 26 690150 93121 2019 8 2 1 56 34.300 -116.166 696 230
## 27 690150 93121 2019 8 2 2 56 34.300 -116.166 696 240
## 28 690150 93121 2019 8 2 3 56 34.300 -116.166 696 240
## 29 690150 93121 2019 8 2 4 56 34.300 -116.166 696 260
## 30 690150 93121 2019 8 2 5 56 34.300 -116.166 696 260
## 31 690150 93121 2019 8 2 6 56 34.300 -116.166 696 10
## 32 690150 93121 2019 8 2 7 56 34.300 -116.166 696 310
## 33 690150 93121 2019 8 2 8 56 34.300 -116.166 696 310
## 34 690150 93121 2019 8 2 9 56 34.300 -116.166 696 310
## 35 690150 93121 2019 8 2 10 56 34.300 -116.166 696 280
## 36 690150 93121 2019 8 2 11 56 34.300 -116.166 696 280
## 37 690150 93121 2019 8 2 12 56 34.300 -116.166 696 280
## 38 690150 93121 2019 8 2 13 56 34.300 -116.166 696 300
## 39 690150 93121 2019 8 2 14 56 34.300 -116.166 696 300
## 40 690150 93121 2019 8 2 15 56 34.300 -116.166 696 300
## 41 690150 93121 2019 8 2 16 56 34.300 -116.166 696 NA
## 42 690150 93121 2019 8 2 17 56 34.300 -116.166 696 30
## 43 690150 93121 2019 8 2 18 56 34.300 -116.166 696 220
## 44 690150 93121 2019 8 2 19 56 34.300 -116.166 696 NA
## 45 690150 93121 2019 8 2 20 56 34.300 -116.166 696 150
## 46 690150 93121 2019 8 2 21 56 34.300 -116.166 696 170
## 47 690150 93121 2019 8 2 22 56 34.300 -116.166 696 120
## 48 690150 93121 2019 8 2 23 56 34.300 -116.166 696 220
## 49 690150 93121 2019 8 3 0 56 34.300 -116.166 696 220
## 50 690150 93121 2019 8 3 1 56 34.300 -116.166 696 230
## 51 690150 93121 2019 8 3 2 56 34.300 -116.166 696 220
## 52 690150 93121 2019 8 3 3 56 34.300 -116.166 696 220
## 53 690150 93121 2019 8 3 4 56 34.300 -116.166 696 240
## 54 690150 93121 2019 8 3 5 56 34.300 -116.166 696 280
## 55 690150 93121 2019 8 3 6 56 34.300 -116.166 696 350
## 56 690150 93121 2019 8 3 7 56 34.300 -116.166 696 340
## 57 690150 93121 2019 8 3 8 56 34.300 -116.166 696 290
## 58 690150 93121 2019 8 3 9 56 34.300 -116.166 696 290
## 59 690150 93121 2019 8 3 10 56 34.300 -116.166 696 310
## 60 690150 93121 2019 8 3 11 56 34.300 -116.166 696 280
## 61 690150 93121 2019 8 3 12 56 34.300 -116.166 696 280
## 62 690150 93121 2019 8 3 13 56 34.300 -116.166 696 310
## 63 690150 93121 2019 8 3 14 56 34.300 -116.166 696 320
## 64 690150 93121 2019 8 3 15 56 34.300 -116.166 696 NA
## 65 690150 93121 2019 8 3 16 56 34.300 -116.166 696 NA
## 66 690150 93121 2019 8 3 17 56 34.300 -116.166 696 170
## 67 690150 93121 2019 8 3 18 56 34.300 -116.166 696 90
## 68 690150 93121 2019 8 3 19 56 34.300 -116.166 696 NA
## 69 690150 93121 2019 8 3 20 56 34.300 -116.166 696 NA
## 70 690150 93121 2019 8 3 21 56 34.300 -116.166 696 180
## 71 690150 93121 2019 8 3 22 56 34.300 -116.166 696 190
## 72 690150 93121 2019 8 3 23 56 34.300 -116.166 696 230
## 73 690150 93121 2019 8 4 0 56 34.300 -116.166 696 230
## 74 690150 93121 2019 8 4 1 56 34.300 -116.166 696 210
## 75 690150 93121 2019 8 4 2 56 34.300 -116.166 696 230
## 76 690150 93121 2019 8 4 3 56 34.300 -116.166 696 230
## 77 690150 93121 2019 8 4 4 56 34.300 -116.166 696 260
## 78 690150 93121 2019 8 4 5 56 34.300 -116.166 696 280
## 79 690150 93121 2019 8 4 6 56 34.300 -116.166 696 350
## 80 690150 93121 2019 8 4 7 56 34.300 -116.166 696 310
## 81 690150 93121 2019 8 4 8 56 34.300 -116.166 696 290
## 82 690150 93121 2019 8 4 9 56 34.300 -116.166 696 290
## 83 690150 93121 2019 8 4 10 56 34.300 -116.166 696 290
## 84 690150 93121 2019 8 4 11 56 34.300 -116.166 696 290
## 85 690150 93121 2019 8 4 12 56 34.300 -116.166 696 290
## 86 690150 93121 2019 8 4 13 56 34.300 -116.166 696 280
## 87 690150 93121 2019 8 4 14 56 34.300 -116.166 696 NA
## 88 690150 93121 2019 8 4 15 56 34.300 -116.166 696 340
## 89 690150 93121 2019 8 4 16 56 34.300 -116.166 696 NA
## 90 690150 93121 2019 8 4 17 56 34.300 -116.166 696 130
## 91 690150 93121 2019 8 4 18 56 34.300 -116.166 696 120
## 92 690150 93121 2019 8 4 19 56 34.300 -116.166 696 120
## 93 690150 93121 2019 8 4 20 56 34.300 -116.166 696 320
## 94 690150 93121 2019 8 4 21 56 34.300 -116.166 696 NA
## 95 690150 93121 2019 8 4 22 56 34.300 -116.166 696 200
## 96 690150 93121 2019 8 4 23 56 34.300 -116.166 696 180
## 97 690150 93121 2019 8 5 0 56 34.300 -116.166 696 200
## 98 690150 93121 2019 8 5 1 56 34.300 -116.166 696 220
## 99 690150 93121 2019 8 5 2 56 34.300 -116.166 696 230
## 100 690150 93121 2019 8 5 3 56 34.300 -116.166 696 210
## 101 690150 93121 2019 8 5 4 56 34.300 -116.166 696 240
## 102 690150 93121 2019 8 5 5 56 34.300 -116.166 696 360
## 103 690150 93121 2019 8 5 6 56 34.300 -116.166 696 270
## 104 690150 93121 2019 8 5 7 56 34.300 -116.166 696 320
## 105 690150 93121 2019 8 5 8 56 34.300 -116.166 696 340
## 106 690150 93121 2019 8 5 9 56 34.300 -116.166 696 300
## 107 690150 93121 2019 8 5 10 56 34.300 -116.166 696 280
## 108 690150 93121 2019 8 5 11 56 34.300 -116.166 696 270
## 109 690150 93121 2019 8 5 12 56 34.300 -116.166 696 280
## 110 690150 93121 2019 8 5 13 56 34.300 -116.166 696 330
## 111 690150 93121 2019 8 5 14 56 34.300 -116.166 696 330
## 112 690150 93121 2019 8 5 15 56 34.300 -116.166 696 310
## 113 690150 93121 2019 8 5 16 56 34.300 -116.166 696 NA
## 114 690150 93121 2019 8 5 17 56 34.300 -116.166 696 NA
## 115 690150 93121 2019 8 5 18 56 34.300 -116.166 696 NA
## 116 690150 93121 2019 8 5 19 56 34.300 -116.166 696 NA
## 117 690150 93121 2019 8 5 20 56 34.300 -116.166 696 NA
## 118 690150 93121 2019 8 5 21 56 34.300 -116.166 696 200
## 119 690150 93121 2019 8 5 22 56 34.300 -116.166 696 190
## 120 690150 93121 2019 8 5 23 56 34.300 -116.166 696 240
## 121 690150 93121 2019 8 6 0 56 34.300 -116.166 696 240
## 122 690150 93121 2019 8 6 1 56 34.300 -116.166 696 240
## 123 690150 93121 2019 8 6 2 56 34.300 -116.166 696 240
## 124 690150 93121 2019 8 6 3 56 34.300 -116.166 696 260
## 125 690150 93121 2019 8 6 4 56 34.300 -116.166 696 290
## 126 690150 93121 2019 8 6 5 56 34.300 -116.166 696 250
## 127 690150 93121 2019 8 6 6 56 34.300 -116.166 696 280
## 128 690150 93121 2019 8 6 7 56 34.300 -116.166 696 280
## 129 690150 93121 2019 8 6 8 56 34.300 -116.166 696 330
## 130 690150 93121 2019 8 6 9 56 34.300 -116.166 696 280
## 131 690150 93121 2019 8 6 10 56 34.300 -116.166 696 260
## 132 690150 93121 2019 8 6 11 56 34.300 -116.166 696 340
## 133 690150 93121 2019 8 6 12 56 34.300 -116.166 696 290
## 134 690150 93121 2019 8 6 13 56 34.300 -116.166 696 260
## 135 690150 93121 2019 8 6 14 56 34.300 -116.166 696 120
## 136 690150 93121 2019 8 6 15 56 34.300 -116.166 696 190
## 137 690150 93121 2019 8 6 16 56 34.300 -116.166 696 NA
## 138 690150 93121 2019 8 6 17 56 34.300 -116.166 696 210
## 139 690150 93121 2019 8 6 18 56 34.300 -116.166 696 NA
## 140 690150 93121 2019 8 6 19 56 34.300 -116.166 696 360
## 141 690150 93121 2019 8 6 20 56 34.300 -116.166 696 NA
## 142 690150 93121 2019 8 6 21 56 34.300 -116.166 696 130
## 143 690150 93121 2019 8 6 22 56 34.300 -116.166 696 120
## 144 690150 93121 2019 8 6 23 56 34.300 -116.166 696 100
## 145 690150 93121 2019 8 7 0 56 34.300 -116.166 696 120
## 146 690150 93121 2019 8 7 1 56 34.300 -116.166 696 150
## 147 690150 93121 2019 8 7 2 56 34.300 -116.166 696 230
## 148 690150 93121 2019 8 7 3 56 34.300 -116.166 696 220
## 149 690150 93121 2019 8 7 4 56 34.300 -116.166 696 220
## 150 690150 93121 2019 8 7 5 56 34.300 -116.166 696 360
## 151 690150 93121 2019 8 7 6 56 34.300 -116.166 696 220
## 152 690150 93121 2019 8 7 7 56 34.300 -116.166 696 250
## 153 690150 93121 2019 8 7 7 59 34.300 -116.166 696 NA
## 154 690150 93121 2019 8 7 8 56 34.300 -116.166 696 210
## 155 690150 93121 2019 8 7 9 56 34.300 -116.166 696 350
## 156 690150 93121 2019 8 7 10 56 34.300 -116.166 696 270
## 157 690150 93121 2019 8 7 11 56 34.300 -116.166 696 300
## 158 690150 93121 2019 8 7 12 56 34.300 -116.166 696 330
## 159 690150 93121 2019 8 7 13 56 34.300 -116.166 696 60
## 160 690150 93121 2019 8 7 14 56 34.300 -116.166 696 360
## 161 690150 93121 2019 8 7 15 56 34.300 -116.166 696 NA
## 162 690150 93121 2019 8 7 16 56 34.300 -116.166 696 NA
## 163 690150 93121 2019 8 7 17 56 34.300 -116.166 696 NA
## 164 690150 93121 2019 8 7 18 56 34.300 -116.166 696 130
## 165 690150 93121 2019 8 7 19 54 34.300 -116.166 696 170
## 166 690150 93121 2019 8 7 19 56 34.300 -116.166 696 NA
## 167 690150 93121 2019 8 7 20 56 34.300 -116.166 696 240
## 168 690150 93121 2019 8 7 21 56 34.300 -116.166 696 200
## 169 690150 93121 2019 8 7 22 56 34.300 -116.166 696 220
## 170 690150 93121 2019 8 7 23 56 34.300 -116.166 696 230
## 171 690150 93121 2019 8 8 0 56 34.300 -116.166 696 200
## 172 690150 93121 2019 8 8 1 56 34.300 -116.166 696 230
## 173 690150 93121 2019 8 8 2 56 34.300 -116.166 696 220
## 174 690150 93121 2019 8 8 3 56 34.300 -116.166 696 220
## 175 690150 93121 2019 8 8 4 56 34.300 -116.166 696 150
## 176 690150 93121 2019 8 8 5 56 34.300 -116.166 696 290
## 177 690150 93121 2019 8 8 6 56 34.300 -116.166 696 290
## 178 690150 93121 2019 8 8 7 56 34.300 -116.166 696 NA
## 179 690150 93121 2019 8 8 7 59 34.300 -116.166 696 NA
## 180 690150 93121 2019 8 8 8 56 34.300 -116.166 696 NA
## 181 690150 93121 2019 8 8 9 56 34.300 -116.166 696 NA
## 182 690150 93121 2019 8 8 10 56 34.300 -116.166 696 350
## 183 690150 93121 2019 8 8 11 56 34.300 -116.166 696 310
## 184 690150 93121 2019 8 8 12 56 34.300 -116.166 696 NA
## 185 690150 93121 2019 8 8 13 56 34.300 -116.166 696 290
## 186 690150 93121 2019 8 8 14 56 34.300 -116.166 696 340
## 187 690150 93121 2019 8 8 15 56 34.300 -116.166 696 NA
## 188 690150 93121 2019 8 8 16 56 34.300 -116.166 696 NA
## 189 690150 93121 2019 8 8 17 56 34.300 -116.166 696 NA
## 190 690150 93121 2019 8 8 18 56 34.300 -116.166 696 NA
## 191 690150 93121 2019 8 8 19 56 34.300 -116.166 696 150
## 192 690150 93121 2019 8 8 20 56 34.300 -116.166 696 110
## 193 690150 93121 2019 8 8 21 56 34.300 -116.166 696 120
## 194 690150 93121 2019 8 8 22 56 34.300 -116.166 696 NA
## 195 690150 93121 2019 8 8 23 56 34.300 -116.166 696 240
## 196 690150 93121 2019 8 9 0 56 34.300 -116.166 696 250
## 197 690150 93121 2019 8 9 1 56 34.300 -116.166 696 240
## 198 690150 93121 2019 8 9 2 56 34.300 -116.166 696 240
## 199 690150 93121 2019 8 9 3 56 34.300 -116.166 696 220
## 200 690150 93121 2019 8 9 4 56 34.300 -116.166 696 230
## 201 690150 93121 2019 8 9 5 56 34.300 -116.166 696 300
## 202 690150 93121 2019 8 9 6 56 34.300 -116.166 696 320
## 203 690150 93121 2019 8 9 7 56 34.300 -116.166 696 280
## 204 690150 93121 2019 8 9 8 56 34.300 -116.166 696 280
## 205 690150 93121 2019 8 9 9 56 34.300 -116.166 696 280
## 206 690150 93121 2019 8 9 10 56 34.300 -116.166 696 270
## 207 690150 93121 2019 8 9 11 56 34.296 -116.162 625 260
## 208 690150 93121 2019 8 9 12 56 34.300 -116.166 696 300
## 209 690150 93121 2019 8 9 13 56 34.300 -116.166 696 NA
## 210 690150 93121 2019 8 9 14 56 34.300 -116.166 696 30
## 211 690150 93121 2019 8 9 15 56 34.300 -116.166 696 360
## 212 690150 93121 2019 8 9 16 56 34.300 -116.166 696 NA
## 213 690150 93121 2019 8 9 17 56 34.300 -116.166 696 NA
## 214 690150 93121 2019 8 9 18 56 34.300 -116.166 696 NA
## 215 690150 93121 2019 8 9 19 56 34.300 -116.166 696 NA
## 216 690150 93121 2019 8 9 20 56 34.300 -116.166 696 NA
## 217 690150 93121 2019 8 9 21 56 34.300 -116.166 696 NA
## 218 690150 93121 2019 8 9 22 56 34.300 -116.166 696 180
## 219 690150 93121 2019 8 9 23 56 34.300 -116.166 696 230
## 220 690150 93121 2019 8 10 0 56 34.300 -116.166 696 230
## 221 690150 93121 2019 8 10 1 56 34.300 -116.166 696 210
## 222 690150 93121 2019 8 10 2 56 34.300 -116.166 696 220
## 223 690150 93121 2019 8 10 3 56 34.300 -116.166 696 240
## 224 690150 93121 2019 8 10 4 56 34.300 -116.166 696 250
## 225 690150 93121 2019 8 10 5 56 34.300 -116.166 696 270
## 226 690150 93121 2019 8 10 6 56 34.300 -116.166 696 280
## 227 690150 93121 2019 8 10 7 56 34.300 -116.166 696 300
## 228 690150 93121 2019 8 10 8 56 34.300 -116.166 696 300
## 229 690150 93121 2019 8 10 9 56 34.300 -116.166 696 280
## 230 690150 93121 2019 8 10 10 56 34.300 -116.166 696 270
## 231 690150 93121 2019 8 10 11 56 34.300 -116.166 696 290
## 232 690150 93121 2019 8 10 12 56 34.300 -116.166 696 270
## 233 690150 93121 2019 8 10 13 56 34.300 -116.166 696 NA
## 234 690150 93121 2019 8 10 14 56 34.300 -116.166 696 330
## 235 690150 93121 2019 8 10 15 56 34.300 -116.166 696 350
## 236 690150 93121 2019 8 10 16 56 34.300 -116.166 696 360
## 237 690150 93121 2019 8 10 17 56 34.300 -116.166 696 NA
## 238 690150 93121 2019 8 10 18 56 34.300 -116.166 696 180
## 239 690150 93121 2019 8 10 19 56 34.300 -116.166 696 NA
## 240 690150 93121 2019 8 10 20 56 34.300 -116.166 696 150
## 241 690150 93121 2019 8 10 21 56 34.300 -116.166 696 NA
## 242 690150 93121 2019 8 10 22 56 34.300 -116.166 696 220
## 243 690150 93121 2019 8 10 23 56 34.300 -116.166 696 250
## 244 690150 93121 2019 8 11 0 56 34.300 -116.166 696 220
## 245 690150 93121 2019 8 11 1 56 34.300 -116.166 696 220
## 246 690150 93121 2019 8 11 2 56 34.300 -116.166 696 230
## 247 690150 93121 2019 8 11 3 56 34.300 -116.166 696 240
## 248 690150 93121 2019 8 11 4 56 34.300 -116.166 696 310
## 249 690150 93121 2019 8 11 5 56 34.300 -116.166 696 300
## 250 690150 93121 2019 8 11 6 56 34.300 -116.166 696 300
## 251 690150 93121 2019 8 11 7 56 34.300 -116.166 696 300
## 252 690150 93121 2019 8 11 8 56 34.300 -116.166 696 320
## 253 690150 93121 2019 8 11 9 56 34.300 -116.166 696 300
## 254 690150 93121 2019 8 11 10 56 34.300 -116.166 696 330
## 255 690150 93121 2019 8 11 11 56 34.300 -116.166 696 300
## 256 690150 93121 2019 8 11 12 56 34.300 -116.166 696 280
## 257 690150 93121 2019 8 11 13 56 34.300 -116.166 696 310
## 258 690150 93121 2019 8 11 14 56 34.300 -116.166 696 300
## 259 690150 93121 2019 8 11 15 56 34.300 -116.166 696 NA
## 260 690150 93121 2019 8 11 16 56 34.300 -116.166 696 310
## 261 690150 93121 2019 8 11 17 56 34.300 -116.166 696 290
## 262 690150 93121 2019 8 11 18 56 34.300 -116.166 696 160
## 263 690150 93121 2019 8 11 19 56 34.300 -116.166 696 NA
## 264 690150 93121 2019 8 11 20 56 34.300 -116.166 696 NA
## 265 690150 93121 2019 8 11 21 56 34.300 -116.166 696 140
## 266 690150 93121 2019 8 11 22 56 34.296 -116.162 625 170
## 267 690150 93121 2019 8 11 23 56 34.296 -116.162 625 110
## 268 690150 93121 2019 8 12 0 56 34.296 -116.162 625 110
## 269 690150 93121 2019 8 12 1 56 34.296 -116.162 625 NA
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## 1930 720110 53983 2019 8 17 3 50 30.784 -98.662 336 NA
## 1931 720110 53983 2019 8 17 4 10 30.784 -98.662 336 NA
## 1932 720110 53983 2019 8 17 4 30 30.784 -98.662 336 NA
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## 1935 720110 53983 2019 8 17 5 30 30.784 -98.662 336 140
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## 1937 720110 53983 2019 8 17 5 59 30.784 -98.662 336 NA
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## 1939 720110 53983 2019 8 17 6 30 30.784 -98.662 336 140
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## 1949 720110 53983 2019 8 17 9 50 30.784 -98.662 336 NA
## 1950 720110 53983 2019 8 17 10 10 30.784 -98.662 336 NA
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## 1952 720110 53983 2019 8 17 10 50 30.784 -98.662 336 NA
## 1953 720110 53983 2019 8 17 11 10 30.784 -98.662 336 NA
## 1954 720110 53983 2019 8 17 11 30 30.784 -98.662 336 NA
## 1955 720110 53983 2019 8 17 11 50 30.784 -98.662 336 NA
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## 1957 720110 53983 2019 8 17 12 30 30.784 -98.662 336 NA
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## 2010 720110 53983 2019 8 18 5 59 30.784 -98.662 336 NA
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## wind.dir.qc wind.type.code wind.sp wind.sp.qc ceiling.ht ceiling.ht.qc
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## 2 5 N 8.2 5 22000 5
## 3 5 N 6.7 5 22000 5
## 4 5 N 5.1 5 22000 5
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## 1719 5 N 2.1 5 22000 5
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## 1743 9 C 0.0 5 22000 5
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## 1745 9 C 0.0 5 22000 5
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## 1845 5 N 3.1 5 22000 5
## 1846 5 N 3.6 5 22000 5
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## 1848 5 N 4.1 5 22000 5
## 1849 5 N 2.6 5 22000 5
## 1850 5 N 2.1 5 22000 5
## 1851 5 N 2.1 5 22000 5
## 1852 5 N 1.5 5 22000 5
## 1853 5 N 2.6 5 22000 5
## 1854 5 N 2.1 5 22000 5
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## 1860 9 C 0.0 5 22000 5
## 1861 9 C 0.0 5 22000 5
## 1862 9 C 0.0 5 22000 5
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## 1864 9 9 NA 9 NA 9
## 1865 9 C 0.0 5 22000 5
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## 1880 9 C 0.0 5 22000 5
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## 1882 9 C 0.0 5 22000 5
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## 1884 9 C 0.0 5 22000 5
## 1885 9 C 0.0 5 22000 5
## 1886 9 C 0.0 5 22000 5
## 1887 9 C 0.0 5 22000 5
## 1888 5 N 2.1 5 22000 5
## 1889 5 N 2.1 5 22000 5
## 1890 5 N 2.1 5 22000 5
## 1891 5 N 3.1 5 22000 5
## 1892 5 N 3.6 5 22000 5
## 1893 5 N 3.6 5 22000 5
## 1894 5 N 3.6 5 22000 5
## 1895 5 N 1.5 5 22000 5
## 1896 5 N 2.6 5 22000 5
## 1897 5 N 2.6 5 22000 5
## 1898 5 N 1.5 5 22000 5
## 1899 5 N 2.6 5 22000 5
## 1900 5 N 2.1 5 22000 5
## 1901 5 N 1.5 5 22000 5
## 1902 9 C 0.0 5 22000 5
## 1903 5 N 2.6 5 22000 5
## 1904 5 N 2.6 5 22000 5
## 1905 5 N 1.5 5 22000 5
## 1906 5 N 2.6 5 22000 5
## 1907 5 N 3.1 5 22000 5
## 1908 5 N 3.1 5 22000 5
## 1909 5 N 3.1 5 22000 5
## 1910 5 V 4.1 5 22000 5
## 1911 5 N 3.6 5 22000 5
## 1912 5 N 4.1 5 22000 5
## 1913 5 N 4.1 5 22000 5
## 1914 5 N 5.1 5 22000 5
## 1915 5 N 3.1 5 22000 5
## 1916 5 N 5.7 5 22000 5
## 1917 5 N 5.1 5 22000 5
## 1918 5 N 5.1 5 22000 5
## 1919 5 N 4.1 5 22000 5
## 1920 5 N 4.6 5 22000 5
## 1921 5 N 4.1 5 22000 5
## 1922 5 N 3.1 5 22000 5
## 1923 5 N 3.1 5 22000 5
## 1924 5 N 3.1 5 22000 5
## 1925 5 N 4.1 5 22000 5
## 1926 5 N 2.6 5 22000 5
## 1927 5 N 2.6 5 22000 5
## 1928 5 N 1.5 5 22000 5
## 1929 5 N 1.5 5 22000 5
## 1930 9 C 0.0 5 22000 5
## 1931 9 C 0.0 5 22000 5
## 1932 9 C 0.0 5 22000 5
## 1933 5 N 1.5 5 22000 5
## 1934 5 N 3.1 5 22000 5
## 1935 5 N 2.6 5 22000 5
## 1936 5 N 3.6 5 22000 5
## 1937 9 9 NA 9 NA 9
## 1938 5 N 4.1 5 22000 5
## 1939 5 N 2.6 5 22000 5
## 1940 5 N 4.1 5 22000 5
## 1941 5 N 3.1 5 22000 5
## 1942 5 N 2.1 5 22000 5
## 1943 5 N 2.6 5 22000 5
## 1944 5 N 3.6 5 22000 5
## 1945 5 N 3.1 5 22000 5
## 1946 5 N 2.1 5 22000 5
## 1947 5 N 2.1 5 22000 5
## 1948 5 N 1.5 5 22000 5
## 1949 9 C 0.0 5 22000 5
## 1950 9 C 0.0 5 22000 5
## 1951 5 N 1.5 5 22000 5
## 1952 9 C 0.0 5 22000 5
## 1953 9 C 0.0 5 22000 5
## 1954 9 C 0.0 5 22000 5
## 1955 9 C 0.0 5 22000 5
## 1956 9 C 0.0 5 22000 5
## 1957 9 C 0.0 5 22000 5
## 1958 9 C 0.0 5 22000 5
## 1959 5 N 1.5 5 22000 5
## 1960 5 N 3.1 5 22000 5
## 1961 5 N 3.1 5 22000 5
## 1962 5 N 3.1 5 22000 5
## 1963 5 N 4.6 5 22000 5
## 1964 5 V 3.1 5 22000 5
## 1965 5 N 2.6 5 22000 5
## 1966 5 V 3.6 5 22000 5
## 1967 5 N 3.6 5 22000 5
## 1968 5 N 4.1 5 22000 5
## 1969 5 N 3.1 5 22000 5
## 1970 5 N 5.1 5 22000 5
## 1971 5 N 4.1 5 22000 5
## 1972 5 N 3.1 5 22000 5
## 1973 5 N 2.6 5 22000 5
## 1974 5 N 2.6 5 22000 5
## 1975 5 N 2.1 5 22000 5
## 1976 5 N 2.6 5 22000 5
## 1977 5 V 3.6 5 22000 5
## 1978 5 N 3.1 5 22000 5
## 1979 5 N 2.6 5 22000 5
## 1980 5 V 4.6 5 22000 5
## 1981 5 N 3.6 5 22000 5
## 1982 5 N 2.6 5 22000 5
## 1983 5 N 3.6 5 22000 5
## 1984 5 N 5.7 5 22000 5
## 1985 5 N 4.6 5 22000 5
## 1986 5 N 3.6 5 22000 5
## 1987 5 N 2.6 5 22000 5
## 1988 5 N 2.6 5 22000 5
## 1989 5 N 3.6 5 22000 5
## 1990 5 N 5.1 5 22000 5
## 1991 5 N 5.7 5 22000 5
## 1992 5 N 4.1 5 22000 5
## 1993 5 N 4.1 5 22000 5
## 1994 5 N 3.6 5 22000 5
## 1995 5 N 4.1 5 22000 5
## 1996 5 N 3.6 5 22000 5
## 1997 5 N 3.1 5 22000 5
## 1998 5 N 2.6 5 22000 5
## 1999 5 N 4.1 5 22000 5
## 2000 5 N 3.6 5 22000 5
## 2001 5 N 3.1 5 22000 5
## 2002 5 N 3.6 5 22000 5
## 2003 5 N 3.6 5 22000 5
## 2004 5 N 3.6 5 22000 5
## 2005 5 N 3.6 5 22000 5
## 2006 5 N 4.6 5 22000 5
## 2007 5 N 3.6 5 22000 5
## 2008 5 N 2.6 5 22000 5
## 2009 5 N 5.1 5 22000 5
## 2010 9 9 NA 9 NA 9
## 2011 5 N 3.6 5 22000 5
## 2012 5 N 4.1 5 22000 5
## 2013 5 N 3.1 5 22000 5
## 2014 5 N 3.6 5 22000 5
## 2015 5 N 3.6 5 22000 5
## 2016 5 N 2.6 5 22000 5
## 2017 5 N 2.1 5 22000 5
## 2018 5 N 2.1 5 22000 5
## 2019 5 N 1.5 5 22000 5
## 2020 9 C 0.0 5 22000 5
## 2021 9 C 0.0 5 22000 5
## 2022 5 N 1.5 5 22000 5
## 2023 9 C 0.0 5 22000 5
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## 2025 9 C 0.0 5 22000 5
## 2026 5 N 2.6 5 22000 5
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## 2029 9 C 0.0 5 22000 5
## 2030 9 C 0.0 5 22000 5
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## 2036 5 N 5.7 5 22000 5
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## 2894 9 C 0.0 5 22000 5
## 2895 9 C 0.0 5 22000 5
## 2896 9 C 0.0 5 22000 5
## 2897 9 C 0.0 5 22000 5
## 2898 9 C 0.0 5 22000 5
## 2899 9 C 0.0 5 22000 5
## 2900 9 C 0.0 5 22000 5
## 2901 9 C 0.0 5 22000 5
## 2902 9 C 0.0 5 22000 5
## 2903 5 N 2.6 5 22000 5
## 2904 5 N 3.6 5 22000 5
## 2905 5 N 1.5 5 22000 5
## 2906 5 N 3.1 5 22000 5
## 2907 5 N 1.5 5 22000 5
## 2908 5 N 2.1 5 22000 5
## 2909 5 N 2.6 5 22000 5
## 2910 5 V 3.1 5 22000 5
## 2911 5 N 3.1 5 22000 5
## 2912 5 N 3.1 5 22000 5
## 2913 5 N 2.1 5 22000 5
## 2914 5 N 2.6 5 22000 5
## 2915 5 N 3.1 5 22000 5
## 2916 5 N 2.1 5 22000 5
## 2917 5 N 3.6 5 22000 5
## 2918 9 C 0.0 5 22000 5
## 2919 5 N 2.1 5 22000 5
## 2920 5 N 4.1 5 22000 5
## 2921 5 N 2.6 5 22000 5
## 2922 5 N 3.6 5 22000 5
## 2923 5 N 2.6 5 22000 5
## 2924 5 N 2.1 5 22000 5
## 2925 5 N 2.6 5 22000 5
## 2926 5 N 5.1 5 22000 5
## 2927 5 N 5.7 5 22000 5
## 2928 5 N 4.6 5 22000 5
## 2929 5 N 6.2 5 22000 5
## 2930 5 N 5.1 5 22000 5
## 2931 5 N 6.2 5 22000 5
## 2932 5 N 5.1 5 22000 5
## 2933 5 N 3.1 5 22000 5
## 2934 1 N 8.2 1 22000 5
## 2935 1 N 8.2 1 22000 5
## 2936 5 N 6.7 5 22000 5
## 2937 5 N 5.1 5 22000 5
## 2938 5 N 2.6 5 22000 5
## 2939 9 C 0.0 5 22000 5
## 2940 9 C 0.0 5 22000 5
## 2941 5 N 2.1 5 22000 5
## ceiling.ht.method sky.cond vis.dist vis.dist.qc vis.var vis.var.qc temp.x
## 1 9 N 16093 5 N 5 37.2
## 2 9 N 16093 5 N 5 35.6
## 3 9 N 16093 5 N 5 34.4
## 4 9 N 16093 5 N 5 33.3
## 5 9 N 16093 5 N 5 32.8
## 6 9 N 16093 5 N 5 31.1
## 7 9 N 16093 5 N 5 29.4
## 8 9 N 16093 5 N 5 28.9
## 9 9 N 16093 5 N 5 27.2
## 10 9 N 16093 5 N 5 26.7
## 11 9 N 16093 1 9 9 26.7
## 12 9 N 16093 1 9 9 25.6
## 13 9 N 14484 5 N 5 25.6
## 14 9 N 14484 5 N 5 25.6
## 15 9 N 16093 5 N 5 27.8
## 16 9 N 16093 5 N 5 30.6
## 17 9 N 16093 5 N 5 33.3
## 18 9 N 16093 5 N 5 35.6
## 19 9 N 16093 5 N 5 37.2
## 20 9 N 16093 5 N 5 38.3
## 21 9 N 16093 5 N 5 39.4
## 22 9 N 16093 5 N 5 40.0
## 23 9 N 16093 5 N 5 40.0
## 24 9 N 16093 5 N 5 40.0
## 25 9 N 16093 5 N 5 39.4
## 26 9 N 16093 5 N 5 37.8
## 27 9 N 16093 5 N 5 36.1
## 28 9 N 16093 5 N 5 35.0
## 29 9 N 16093 5 N 5 33.3
## 30 9 N 16093 5 N 5 31.7
## 31 9 N 16093 5 N 5 28.9
## 32 9 N 16093 5 N 5 30.6
## 33 9 N 16093 5 N 5 28.3
## 34 9 N 16093 5 N 5 27.8
## 35 9 N 16093 5 N 5 27.2
## 36 9 N 16093 5 N 5 27.8
## 37 9 N 16093 5 N 5 26.7
## 38 9 N 16093 5 N 5 27.2
## 39 9 N 16093 5 N 5 29.4
## 40 9 N 16093 5 N 5 31.7
## 41 9 N 16093 5 N 5 34.4
## 42 9 N 16093 5 N 5 36.1
## 43 9 N 16093 5 N 5 36.7
## 44 9 N 16093 5 N 5 38.3
## 45 M N 16093 5 N 5 39.4
## 46 M N 16093 5 N 5 40.6
## 47 M N 16093 5 N 5 40.0
## 48 9 N 16093 5 N 5 40.6
## 49 9 N 16093 5 N 5 39.4
## 50 9 N 16093 5 N 5 37.8
## 51 9 N 16093 5 N 5 35.6
## 52 9 N 16093 5 N 5 34.4
## 53 9 N 16093 5 N 5 33.9
## 54 9 N 16093 5 N 5 32.2
## 55 9 N 16093 5 N 5 31.1
## 56 9 N 16093 5 N 5 29.4
## 57 9 N 16093 5 N 5 30.0
## 58 9 N 16093 5 N 5 28.9
## 59 9 N 16093 5 N 5 28.3
## 60 9 N 16093 5 N 5 27.8
## 61 9 N 16093 5 N 5 27.2
## 62 M N 14484 5 N 5 27.2
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## 64 9 N 16093 5 N 5 32.2
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## 68 9 N 16093 5 N 5 40.0
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## 71 M N 16093 5 N 5 41.7
## 72 M N 16093 5 N 5 41.7
## 73 9 N 16093 5 N 5 40.6
## 74 9 N 16093 5 N 5 38.9
## 75 9 N 16093 5 N 5 37.2
## 76 9 N 16093 5 N 5 35.6
## 77 9 N 16093 5 N 5 34.4
## 78 9 N 16093 5 N 5 33.3
## 79 9 N 16093 5 N 5 31.7
## 80 9 N 16093 5 N 5 31.1
## 81 9 N 16093 5 N 5 30.0
## 82 9 N 16093 5 N 5 28.9
## 83 9 N 16093 5 N 5 28.3
## 84 9 N 16093 5 N 5 28.3
## 85 9 N 16093 5 N 5 27.2
## 86 9 N 16093 5 N 5 27.8
## 87 9 N 16093 5 N 5 29.4
## 88 9 N 16093 5 N 5 33.3
## 89 9 N 16093 5 N 5 35.6
## 90 9 N 16093 5 N 5 37.8
## 91 9 N 16093 5 N 5 38.9
## 92 9 N 16093 5 N 5 39.4
## 93 9 N 16093 5 N 5 41.1
## 94 9 N 16093 5 N 5 41.7
## 95 9 N 16093 5 N 5 41.7
## 96 9 N 16093 5 N 5 41.1
## 97 9 N 16093 5 N 5 41.1
## 98 9 N 16093 5 N 5 39.4
## 99 9 N 16093 5 N 5 37.2
## 100 9 N 16093 5 N 5 35.6
## 101 9 N 16093 5 N 5 35.6
## 102 9 N 16093 5 N 5 32.8
## 103 9 N 16093 5 N 5 32.2
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## 106 9 N 16093 5 N 5 28.3
## 107 9 N 16093 5 N 5 28.3
## 108 9 N 16093 5 N 5 28.3
## 109 9 N 16093 5 N 5 27.2
## 110 9 N 16093 5 N 5 27.8
## 111 9 N 16093 5 N 5 28.3
## 112 9 N 12875 5 N 5 32.8
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## 114 9 N 16093 5 N 5 38.3
## 115 9 N 16093 5 N 5 40.6
## 116 9 N 16093 5 N 5 41.1
## 117 9 N NA 9 N 5 NA
## 118 9 N 16093 5 N 5 43.3
## 119 9 N 16093 5 N 5 43.3
## 120 9 N 16093 5 N 5 43.3
## 121 9 N 16093 5 N 5 42.2
## 122 M N 16093 5 N 5 40.6
## 123 M N 16093 5 N 5 38.9
## 124 9 N 16093 5 N 5 37.8
## 125 9 N 16093 5 N 5 36.1
## 126 9 N 16093 5 N 5 34.4
## 127 9 N 16093 5 N 5 34.4
## 128 9 N 16093 5 N 5 32.8
## 129 9 N 16093 5 N 5 32.2
## 130 9 N 16093 5 N 5 31.7
## 131 9 N 16093 5 N 5 31.1
## 132 9 N 16093 5 N 5 31.1
## 133 9 N 16093 5 N 5 29.4
## 134 9 N 16093 5 N 5 30.6
## 135 M N 16093 5 N 5 30.0
## 136 M N 16093 5 N 5 30.6
## 137 M N 16093 5 N 5 33.3
## 138 M N 16093 5 N 5 32.8
## 139 M N 16093 5 N 5 33.9
## 140 M N 16093 5 N 5 36.1
## 141 M N 16093 5 N 5 36.7
## 142 M N 16093 5 N 5 37.8
## 143 M N 16093 5 N 5 37.8
## 144 M N 16093 5 N 5 39.4
## 145 M N 16093 5 N 5 38.9
## 146 M N 16093 5 N 5 37.8
## 147 M N 16093 5 N 5 36.7
## 148 M N 16093 5 N 5 35.0
## 149 M N 16093 5 N 5 33.9
## 150 M N 16093 5 N 5 32.8
## 151 9 N 16093 5 N 5 32.2
## 152 9 N 16093 5 N 5 31.7
## 153 9 9 NA 9 9 9 NA
## 154 9 N 16093 5 N 5 29.4
## 155 9 N 16093 5 N 5 30.0
## 156 9 N 16093 5 N 5 28.3
## 157 9 N 16093 5 N 5 28.9
## 158 9 N 16093 5 N 5 27.8
## 159 9 N 16093 5 N 5 28.9
## 160 9 N 11265 5 N 5 30.6
## 161 M N 16093 5 N 5 33.3
## 162 M N 16093 5 N 5 34.4
## 163 M N 16093 5 N 5 35.0
## 164 M N 16093 5 N 5 36.7
## 165 M N 16093 5 N 5 37.0
## 166 M N 16093 5 N 5 37.2
## 167 M N 16093 5 N 5 38.3
## 168 M N 16093 5 N 5 38.3
## 169 9 N 16093 5 N 5 37.8
## 170 M N 16093 5 N 5 38.3
## 171 9 N 16093 5 N 5 37.2
## 172 9 N 16093 5 N 5 36.1
## 173 9 N 16093 5 N 5 33.9
## 174 9 N 16093 5 N 5 32.8
## 175 9 N 16093 5 N 5 31.1
## 176 9 N 14484 5 N 5 30.0
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## 178 9 N 16093 5 N 5 28.3
## 179 9 9 NA 9 9 9 NA
## 180 9 N 16093 5 N 5 26.7
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## 182 9 N 16093 5 N 5 26.1
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## 184 9 N 16093 5 N 5 25.0
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## 186 9 N 14484 5 N 5 27.2
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## 188 9 N 16093 5 N 5 33.3
## 189 9 N 16093 5 N 5 35.0
## 190 9 N 16093 5 N 5 36.7
## 191 9 N 16093 5 N 5 36.7
## 192 9 N 16093 5 N 5 38.3
## 193 9 N 16093 5 N 5 37.8
## 194 9 N 16093 5 N 5 39.4
## 195 9 N 16093 5 N 5 38.9
## 196 9 N 16093 5 N 5 38.3
## 197 9 N 16093 5 N 5 36.7
## 198 9 N 14484 5 N 5 34.4
## 199 9 N 16093 5 N 5 32.8
## 200 9 N 16093 5 N 5 31.1
## 201 9 N 16093 5 N 5 30.6
## 202 9 N 16093 5 N 5 28.3
## 203 9 N 16093 5 N 5 27.2
## 204 9 N 16093 5 N 5 26.1
## 205 9 N 16093 5 N 5 25.0
## 206 9 N 16093 5 N 5 25.0
## 207 9 N 16093 1 9 9 23.9
## 208 9 N 16093 5 N 5 23.3
## 209 9 N 16093 5 N 5 22.2
## 210 9 N 16093 5 N 5 24.4
## 211 9 N 16093 5 N 5 28.3
## 212 9 N 16093 5 N 5 31.1
## 213 9 N 16093 5 N 5 33.9
## 214 9 N 16093 5 N 5 34.4
## 215 9 N 16093 5 N 5 36.1
## 216 9 N 16093 5 N 5 36.7
## 217 9 N 16093 5 N 5 38.3
## 218 9 N 16093 5 N 5 37.2
## 219 9 N 16093 5 N 5 37.2
## 220 9 N 16093 5 N 5 36.7
## 221 9 N 16093 5 N 5 34.4
## 222 9 N 16093 5 N 5 32.2
## 223 9 N 16093 5 N 5 30.6
## 224 9 N 16093 5 N 5 30.6
## 225 9 N 16093 5 N 5 28.9
## 226 9 N 16093 5 N 5 26.7
## 227 9 N 16093 5 N 5 25.6
## 228 9 N 16093 5 N 5 25.6
## 229 9 N 16093 5 N 5 23.9
## 230 9 N 16093 5 N 5 23.9
## 231 9 N 16093 5 N 5 22.2
## 232 9 N 16093 5 N 5 21.1
## 233 9 N 16093 5 N 5 22.8
## 234 9 N 16093 5 N 5 24.4
## 235 9 N 16093 5 N 5 27.8
## 236 9 N 16093 5 N 5 30.6
## 237 9 N 16093 5 N 5 31.7
## 238 9 N 16093 5 N 5 33.3
## 239 9 N 16093 5 N 5 34.4
## 240 9 N 16093 5 N 5 36.1
## 241 9 N 16093 5 N 5 36.1
## 242 9 N 16093 5 N 5 36.7
## 243 9 N 16093 5 N 5 36.7
## 244 9 N 16093 5 N 5 35.0
## 245 9 N 16093 5 N 5 33.3
## 246 9 N 16093 5 N 5 31.1
## 247 9 N 16093 5 N 5 29.4
## 248 9 N 16093 5 N 5 28.3
## 249 9 N 16093 5 N 5 27.8
## 250 9 N 16093 5 N 5 26.1
## 251 9 N 16093 5 N 5 25.6
## 252 9 N 16093 5 N 5 25.0
## 253 9 N 16093 5 N 5 23.9
## 254 9 N 16093 5 N 5 23.9
## 255 9 N 16093 5 N 5 23.9
## 256 9 N 16093 5 N 5 22.2
## 257 9 N 16093 5 N 5 22.8
## 258 9 N 14484 5 N 5 23.9
## 259 9 N 16093 5 N 5 26.1
## 260 9 N 16093 5 N 5 28.9
## 261 9 N 16093 5 N 5 30.6
## 262 9 N 16093 5 N 5 31.7
## 263 9 N 16093 5 N 5 33.3
## 264 9 N 16093 5 N 5 34.4
## 265 9 N 16093 5 N 5 35.6
## 266 9 N 16093 1 9 9 36.7
## 267 9 N 16093 1 9 9 36.7
## 268 9 N 16093 1 9 9 36.1
## 269 9 N 16093 1 9 9 35.6
## 270 9 N 16093 1 9 9 32.8
## 271 9 N 16093 1 9 9 30.6
## 272 9 N 14484 1 9 9 30.6
## 273 9 N 16093 1 9 9 28.3
## 274 9 N 16093 1 9 9 27.8
## 275 9 N 16093 1 9 9 26.7
## 276 9 N 16093 1 9 9 26.1
## 277 9 N 16093 1 9 9 25.6
## 278 9 N 16093 1 9 9 24.4
## 279 9 N 16093 1 9 9 23.9
## 280 9 N 16093 1 9 9 22.8
## 281 9 N 16093 1 9 9 23.3
## 282 9 N 14484 1 9 9 26.1
## 283 9 N 16093 1 9 9 27.8
## 284 9 N 16093 1 9 9 30.6
## 285 9 N 16093 1 9 9 33.9
## 286 9 N 16093 1 9 9 35.0
## 287 9 N 16093 1 9 9 36.1
## 288 9 N 16093 5 N 5 36.7
## 289 9 N 16093 5 N 5 37.8
## 290 9 N 16093 5 N 5 38.3
## 291 9 N 16093 5 N 5 37.8
## 292 9 N 16093 5 N 5 37.2
## 293 9 N 16093 1 9 9 36.1
## 294 9 N 16093 1 9 9 33.9
## 295 9 N 16093 5 N 5 32.2
## 296 9 N 16093 1 9 9 31.1
## 297 9 N 16093 5 N 5 30.6
## 298 9 N 14484 5 N 5 28.3
## 299 9 N 16093 5 N 5 28.3
## 300 9 N 16093 5 N 5 26.7
## 301 9 N 16093 5 N 5 25.6
## 302 9 N 16093 5 N 5 25.6
## 303 9 N 16093 5 N 5 23.9
## 304 9 N 16093 1 9 9 23.9
## 305 9 N 12875 5 N 5 24.4
## 306 9 N 12875 5 N 5 26.7
## 307 9 N 16093 5 N 5 29.4
## 308 9 N 16093 5 N 5 32.8
## 309 9 N 16093 5 N 5 35.0
## 310 9 N 16093 5 N 5 36.1
## 311 9 N 16093 5 N 5 37.8
## 312 9 N 16093 5 N 5 38.9
## 313 9 N 16093 5 N 5 39.4
## 314 9 N 16093 5 N 5 40.0
## 315 9 N 16093 5 N 5 40.6
## 316 9 N 16093 5 N 5 39.4
## 317 9 N 16093 5 N 5 37.8
## 318 9 N 16093 5 N 5 35.6
## 319 9 N 16093 5 N 5 33.9
## 320 9 N 16093 5 N 5 32.8
## 321 9 N 16093 5 N 5 32.2
## 322 9 N 16093 5 N 5 30.6
## 323 9 N 16093 5 N 5 28.9
## 324 9 N 16093 5 N 5 27.2
## 325 9 N 16093 5 N 5 26.1
## 326 9 N 16093 5 N 5 25.6
## 327 9 N 16093 5 N 5 25.6
## 328 9 N 16093 5 N 5 24.4
## 329 9 N 14484 5 N 5 25.0
## 330 9 N 12875 5 N 5 27.8
## 331 9 N 11265 5 N 5 30.6
## 332 9 N 16093 5 N 5 34.4
## 333 9 N 16093 5 N 5 37.2
## 334 9 N 16093 5 N 5 38.3
## 335 9 N 16093 5 N 5 39.4
## 336 9 N 16093 5 N 5 40.6
## 337 9 N 16093 5 N 5 40.6
## 338 9 N 16093 5 N 5 41.1
## 339 9 N 16093 5 N 5 41.1
## 340 9 N 16093 5 N 5 41.1
## 341 9 N 16093 5 N 5 39.4
## 342 9 N 16093 5 N 5 36.7
## 343 9 N 16093 5 N 5 35.0
## 344 9 N 16093 5 N 5 33.3
## 345 9 N 6437 5 N 5 31.7
## 346 9 N 16093 5 N 5 30.6
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## 348 9 9 NA 9 9 9 NA
## 349 9 N 16093 5 N 5 28.9
## 350 9 N 16093 5 N 5 28.9
## 351 9 N 16093 5 N 5 26.7
## 352 9 N 16093 5 N 5 27.2
## 353 9 N 14484 1 9 9 25.6
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## 355 9 N 14484 5 N 5 27.8
## 356 9 N 14484 5 N 5 31.7
## 357 9 N 16093 5 N 5 35.0
## 358 9 N 16093 5 N 5 37.8
## 359 9 N 16093 5 N 5 40.0
## 360 9 N 16093 5 N 5 41.1
## 361 9 N 16093 5 N 5 42.2
## 362 9 N 16093 5 N 5 42.2
## 363 9 N 16093 5 N 5 42.8
## 364 9 N 16093 5 N 5 41.7
## 365 9 N 16093 5 N 5 41.1
## 366 9 N 16093 5 N 5 38.9
## 367 9 N 16093 5 N 5 36.1
## 368 9 N 16093 5 N 5 34.4
## 369 9 N 16093 5 N 5 32.2
## 370 9 N 16093 5 N 5 31.1
## 371 9 N 16093 5 N 5 30.6
## 372 9 N 16093 5 N 5 31.1
## 373 9 N 16093 5 N 5 28.9
## 374 9 N 16093 5 N 5 27.8
## 375 9 N 16093 5 N 5 27.8
## 376 9 N 16093 5 N 5 26.7
## 377 9 N 16093 5 N 5 26.1
## 378 9 N 14484 5 N 5 26.1
## 379 9 N 16093 5 N 5 27.2
## 380 9 N 16093 5 N 5 31.1
## 381 9 N 16093 5 N 5 35.0
## 382 9 N 16093 5 N 5 37.2
## 383 9 N 16093 5 N 5 39.4
## 384 9 N 16093 5 N 5 40.0
## 385 9 N 16093 5 N 5 39.4
## 386 9 N 16093 5 N 5 40.6
## 387 9 N 16093 5 N 5 41.1
## 388 9 N 16093 5 N 5 41.1
## 389 9 N 16093 5 N 5 39.4
## 390 9 N 16093 5 N 5 37.2
## 391 9 N 16093 5 N 5 35.0
## 392 9 N 16093 5 N 5 33.3
## 393 9 N 14484 5 N 5 32.2
## 394 9 N 16093 5 N 5 30.0
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## 396 9 N 16093 5 N 5 29.4
## 397 9 N 16093 5 N 5 28.3
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## 399 9 N 16093 5 N 5 25.0
## 400 9 N 16093 5 N 5 24.4
## 401 9 N 16093 5 N 5 23.3
## 402 9 N 14484 5 N 5 23.3
## 403 9 N 11265 5 N 5 26.1
## 404 9 N 14484 5 N 5 28.3
## 405 9 N 16093 5 N 5 33.3
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## 407 9 N 16093 5 N 5 37.8
## 408 9 N 16093 5 N 5 37.2
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## 410 9 N 16093 5 N 5 39.4
## 411 9 N 16093 5 N 5 39.4
## 412 9 N 16093 5 N 5 39.4
## 413 9 N 16093 5 N 5 38.3
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## 415 9 N 16093 5 N 5 32.8
## 416 9 N 16093 5 N 5 30.6
## 417 9 N 16093 5 N 5 30.6
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## 434 M N 16093 5 N 5 37.8
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## 438 9 N 16093 5 N 5 35.0
## 439 9 N 16093 5 N 5 32.8
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## 443 9 N 16093 5 N 5 27.2
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## 456 9 N 16093 5 N 5 37.2
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## 466 9 N 16093 5 N 5 27.2
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## 469 9 9 NA 9 9 9 NA
## 470 9 N 16093 5 N 5 25.0
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## 472 9 N 16093 5 N 5 23.9
## 473 9 N 16093 5 N 5 23.3
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## 492 9 N 16093 5 N 5 29.4
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## 494 9 N 16093 5 N 5 27.2
## 495 9 N 16093 5 N 5 26.1
## 496 9 N 16093 5 N 5 25.0
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## 501 9 N 16093 5 N 5 33.3
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## 503 9 N 16093 5 N 5 37.8
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## 506 9 N 16093 5 N 5 41.7
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## temp.qc dew.point dew.point.qc atm.press atm.press.qc rh CTRY
## 1 5 10.6 5 1009.9 5 19.881266 US
## 2 5 10.6 5 1010.3 5 21.760980 US
## 3 5 7.2 5 1010.6 5 18.482122 US
## 4 5 5.0 5 1011.6 5 16.888622 US
## 5 5 5.0 5 1012.7 5 17.384101 US
## 6 5 5.6 5 1012.7 5 20.015403 US
## 7 5 6.1 5 1012.8 5 22.899111 US
## 8 5 6.7 5 1012.8 5 24.585783 US
## 9 5 7.8 5 1012.5 5 29.329834 US
## 10 5 7.8 5 1012.7 5 30.218128 US
## 11 1 8.3 1 1012.8 1 31.265631 US
## 12 1 9.4 1 1013.0 1 35.975075 US
## 13 5 6.7 5 1013.6 5 29.933337 US
## 14 5 5.6 5 1014.6 5 27.739048 US
## 15 5 5.6 5 1015.0 5 24.314684 US
## 16 5 5.0 5 1015.0 5 19.761503 US
## 17 5 8.3 5 1014.8 5 21.233582 US
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## 19 5 5.0 5 1014.1 5 13.514488 US
## 20 5 4.4 5 1013.3 5 12.172839 US
## 21 5 5.0 5 1012.2 5 11.942026 US
## 22 5 5.0 5 1011.5 5 11.548719 US
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## 30 5 3.3 5 1012.0 5 16.429419 US
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## 252 5 3.3 5 1011.3 5 24.473412 US
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## 1840 5 17.0 5 NA 9 28.923820 US
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## 1847 5 16.0 5 NA 9 28.684291 US
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## 1864 9 NA 9 NA 9 NA US
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## 1867 C 19.0 C NA 9 61.637697 US
## 1868 5 19.0 5 NA 9 61.637697 US
## 1869 5 19.0 5 NA 9 61.637697 US
## 1870 C 19.0 C NA 9 65.398965 US
## 1871 5 19.0 5 NA 9 65.398965 US
## 1872 5 19.0 5 NA 9 61.637697 US
## 1873 C 19.0 C NA 9 61.637697 US
## 1874 5 19.0 5 NA 9 65.398965 US
## 1875 5 19.0 5 NA 9 65.398965 US
## 1876 C 19.0 C NA 9 65.398965 US
## 1877 5 19.0 5 NA 9 65.398965 US
## 1878 5 19.0 5 NA 9 69.413948 US
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## 1881 5 21.0 5 NA 9 78.542699 US
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## 1883 5 20.0 5 NA 9 78.413050 US
## 1884 5 21.0 5 NA 9 78.542699 US
## 1885 C 21.0 C NA 9 69.757110 US
## 1886 5 21.0 5 NA 9 65.774110 US
## 1887 5 20.0 5 NA 9 58.325774 US
## 1888 C 20.0 C NA 9 55.029971 US
## 1889 5 20.0 5 NA 9 51.937570 US
## 1890 5 20.0 5 NA 9 51.937570 US
## 1891 C 20.0 C NA 9 49.034942 US
## 1892 5 20.0 5 NA 9 46.309445 US
## 1893 5 21.0 5 NA 9 46.546155 US
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## 1895 5 20.0 5 NA 9 41.343745 US
## 1896 5 20.0 5 NA 9 39.082528 US
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## 1900 C 18.0 C NA 9 30.824487 US
## 1901 5 18.0 5 NA 9 29.162135 US
## 1902 5 17.0 5 NA 9 27.362583 US
## 1903 C 17.0 C NA 9 27.362583 US
## 1904 5 16.0 5 NA 9 25.660958 US
## 1905 5 16.0 5 NA 9 25.660958 US
## 1906 C 15.0 C NA 9 22.758685 US
## 1907 5 17.0 5 NA 9 24.509922 US
## 1908 5 17.0 5 NA 9 24.509922 US
## 1909 C 17.0 C NA 9 25.893239 US
## 1910 5 17.0 5 NA 9 25.893239 US
## 1911 5 17.0 5 NA 9 25.893239 US
## 1912 C 17.0 C NA 9 25.893239 US
## 1913 5 17.0 5 NA 9 25.893239 US
## 1914 5 17.0 5 NA 9 25.893239 US
## 1915 C 17.0 C NA 9 27.362583 US
## 1916 5 17.0 5 NA 9 27.362583 US
## 1917 5 17.0 5 NA 9 28.923820 US
## 1918 C 18.0 C NA 9 30.824487 US
## 1919 5 18.0 5 NA 9 32.591315 US
## 1920 5 18.0 5 NA 9 32.591315 US
## 1921 C 18.0 C NA 9 34.469822 US
## 1922 5 18.0 5 NA 9 36.467752 US
## 1923 5 18.0 5 NA 9 36.467752 US
## 1924 C 18.0 C NA 9 38.593436 US
## 1925 5 18.0 5 NA 9 38.593436 US
## 1926 5 18.0 5 NA 9 38.593436 US
## 1927 C 18.0 C NA 9 40.855837 US
## 1928 5 18.0 5 NA 9 43.264610 US
## 1929 5 18.0 5 NA 9 43.264610 US
## 1930 C 18.0 C NA 9 43.264610 US
## 1931 5 18.0 5 NA 9 45.830148 US
## 1932 5 18.0 5 NA 9 45.830148 US
## 1933 C 18.0 C NA 9 48.563655 US
## 1934 5 18.0 5 NA 9 45.830148 US
## 1935 5 18.0 5 NA 9 45.830148 US
## 1936 C 19.0 C NA 9 48.800317 US
## 1937 9 NA 9 NA 9 NA US
## 1938 5 19.0 5 NA 9 51.708430 US
## 1939 5 19.0 5 NA 9 51.708430 US
## 1940 C 19.0 C NA 9 54.807956 US
## 1941 5 19.0 5 NA 9 54.807956 US
## 1942 5 19.0 5 NA 9 54.807956 US
## 1943 C 19.0 C NA 9 58.112734 US
## 1944 5 19.0 5 NA 9 58.112734 US
## 1945 5 19.0 5 NA 9 58.112734 US
## 1946 C 19.0 C NA 9 58.112734 US
## 1947 5 19.0 5 NA 9 61.637697 US
## 1948 5 20.0 5 NA 9 65.587542 US
## 1949 C 20.0 C NA 9 69.586484 US
## 1950 5 20.0 5 NA 9 69.586484 US
## 1951 5 21.0 5 NA 9 74.006764 US
## 1952 C 21.0 C NA 9 74.006764 US
## 1953 5 21.0 5 NA 9 74.006764 US
## 1954 5 21.0 5 NA 9 78.542699 US
## 1955 C 21.0 C NA 9 83.386117 US
## 1956 5 21.0 5 NA 9 83.386117 US
## 1957 5 21.0 5 NA 9 83.386117 US
## 1958 C 22.0 C NA 9 78.670807 US
## 1959 5 22.0 5 NA 9 74.156797 US
## 1960 5 22.0 5 NA 9 69.925856 US
## 1961 C 21.0 C NA 9 65.774110 US
## 1962 5 21.0 5 NA 9 62.039594 US
## 1963 5 21.0 5 NA 9 58.536724 US
## 1964 C 20.0 C NA 9 51.937570 US
## 1965 5 20.0 5 NA 9 49.034942 US
## 1966 5 19.0 5 NA 9 46.070783 US
## 1967 C 19.0 C NA 9 43.507925 US
## 1968 5 19.0 5 NA 9 41.100697 US
## 1969 5 19.0 5 NA 9 38.838842 US
## 1970 C 19.0 C NA 9 36.712831 US
## 1971 5 19.0 5 NA 9 36.712831 US
## 1972 5 19.0 5 NA 9 34.713813 US
## 1973 C 19.0 C NA 9 34.713813 US
## 1974 5 18.0 5 NA 9 32.591315 US
## 1975 5 19.0 5 NA 9 32.833555 US
## 1976 C 18.0 C NA 9 29.162135 US
## 1977 5 18.0 5 NA 9 29.162135 US
## 1978 5 18.0 5 NA 9 29.162135 US
## 1979 C 18.0 C NA 9 29.162135 US
## 1980 5 18.0 5 NA 9 27.597557 US
## 1981 5 17.0 5 NA 9 25.893239 US
## 1982 C 17.0 C NA 9 28.923820 US
## 1983 5 17.0 5 NA 9 27.362583 US
## 1984 5 17.0 5 NA 9 25.893239 US
## 1985 C 17.0 C NA 9 28.923820 US
## 1986 5 16.0 5 NA 9 27.126501 US
## 1987 5 17.0 5 NA 9 27.362583 US
## 1988 C 16.0 C NA 9 25.660958 US
## 1989 5 16.0 5 NA 9 25.660958 US
## 1990 5 16.0 5 NA 9 25.660958 US
## 1991 C 16.0 C NA 9 27.126501 US
## 1992 5 16.0 5 NA 9 28.684291 US
## 1993 5 16.0 5 NA 9 28.684291 US
## 1994 C 16.0 C NA 9 30.340693 US
## 1995 5 16.0 5 NA 9 30.340693 US
## 1996 5 17.0 5 NA 9 34.224302 US
## 1997 C 17.0 C NA 9 36.221040 US
## 1998 5 17.0 5 NA 9 36.221040 US
## 1999 5 17.0 5 NA 9 36.221040 US
## 2000 C 17.0 C NA 9 38.346296 US
## 2001 5 17.0 5 NA 9 38.346296 US
## 2002 5 18.0 5 NA 9 40.855837 US
## 2003 C 18.0 C NA 9 43.264610 US
## 2004 5 19.0 5 NA 9 46.070783 US
## 2005 5 20.0 5 NA 9 51.937570 US
## 2006 C 22.0 C NA 9 58.745615 US
## 2007 5 22.0 5 NA 9 58.745615 US
## 2008 5 22.0 5 NA 9 58.745615 US
## 2009 C 22.0 C NA 9 62.237475 US
## 2010 9 NA 9 NA 9 NA US
## 2011 5 22.0 5 NA 9 65.958703 US
## 2012 5 23.0 5 NA 9 70.092752 US
## 2013 C 23.0 C NA 9 70.092752 US
## 2014 5 22.0 5 NA 9 69.925856 US
## 2015 5 22.0 5 NA 9 69.925856 US
## 2016 C 22.0 C NA 9 69.925856 US
## 2017 5 22.0 5 NA 9 74.156797 US
## 2018 5 22.0 5 NA 9 74.156797 US
## 2019 C 22.0 C NA 9 74.156797 US
## 2020 5 21.0 5 NA 9 69.757110 US
## 2021 5 21.0 5 NA 9 74.006764 US
## 2022 C 21.0 C NA 9 74.006764 US
## 2023 5 21.0 5 NA 9 74.006764 US
## 2024 5 21.0 5 NA 9 78.542699 US
## 2025 C 21.0 C NA 9 78.542699 US
## 2026 5 21.0 5 NA 9 83.386117 US
## 2027 5 21.0 5 NA 9 78.542699 US
## 2028 C 21.0 C NA 9 83.386117 US
## 2029 5 21.0 5 NA 9 83.386117 US
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## 2036 5 19.0 5 NA 9 51.708430 US
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## 2038 5 18.0 5 NA 9 43.264610 US
## 2039 5 17.0 5 NA 9 40.609149 US
## 2040 C 17.0 C NA 9 38.346296 US
## 2041 5 17.0 5 NA 9 36.221040 US
## 2042 5 17.0 5 NA 9 36.221040 US
## 2043 C 17.0 C NA 9 34.224302 US
## 2044 5 17.0 5 NA 9 32.347651 US
## 2045 5 17.0 5 NA 9 32.347651 US
## 2046 C 17.0 C NA 9 30.583251 US
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## 2723 5 21.0 5 NA 9 55.249900 US
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## 2725 5 21.0 5 NA 9 58.536724 US
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## 2729 5 19.0 5 NA 9 65.398965 US
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## 2731 5 20.0 5 NA 9 78.413050 US
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## 2734 5 20.0 5 NA 9 78.413050 US
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## 2737 5 20.0 5 NA 9 78.413050 US
## 2738 5 20.0 5 NA 9 78.413050 US
## 2739 C 20.0 C NA 9 83.282245 US
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## 2742 5 20.0 5 NA 9 78.413050 US
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## 2744 5 20.0 5 NA 9 83.282245 US
## 2745 5 21.0 5 NA 9 88.559941 US
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## 2748 5 21.0 5 NA 9 88.559941 US
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## 2750 5 21.0 5 NA 9 88.559941 US
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## 2753 5 20.0 5 NA 9 88.485938 US
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## 2756 5 20.0 5 NA 9 88.485938 US
## 2757 5 20.0 5 NA 9 88.485938 US
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## 2759 5 20.0 5 NA 9 88.485938 US
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## 2941 C 20.0 C NA 9 69.586484 US
## STATE temp.y temp_cat
## 1 CA 22.36199 Mid
## 2 CA 22.36199 Mid
## 3 CA 22.36199 Mid
## 4 CA 22.36199 Mid
## 5 CA 22.36199 Mid
## 6 CA 22.36199 Mid
## 7 CA 22.36199 Mid
## 8 CA 22.36199 Mid
## 9 CA 22.36199 Mid
## 10 CA 22.36199 Mid
## 11 CA 22.36199 Mid
## 12 CA 22.36199 Mid
## 13 CA 22.36199 Mid
## 14 CA 22.36199 Mid
## 15 CA 22.36199 Mid
## 16 CA 22.36199 Mid
## 17 CA 22.36199 Mid
## 18 CA 22.36199 Mid
## 19 CA 22.36199 Mid
## 20 CA 22.36199 Mid
## 21 CA 22.36199 Mid
## 22 CA 22.36199 Mid
## 23 CA 22.36199 Mid
## 24 CA 22.36199 Mid
## 25 CA 22.36199 Mid
## 26 CA 22.36199 Mid
## 27 CA 22.36199 Mid
## 28 CA 22.36199 Mid
## 29 CA 22.36199 Mid
## 30 CA 22.36199 Mid
## 31 CA 22.36199 Mid
## 32 CA 22.36199 Mid
## 33 CA 22.36199 Mid
## 34 CA 22.36199 Mid
## 35 CA 22.36199 Mid
## 36 CA 22.36199 Mid
## 37 CA 22.36199 Mid
## 38 CA 22.36199 Mid
## 39 CA 22.36199 Mid
## 40 CA 22.36199 Mid
## 41 CA 22.36199 Mid
## 42 CA 22.36199 Mid
## 43 CA 22.36199 Mid
## 44 CA 22.36199 Mid
## 45 CA 22.36199 Mid
## 46 CA 22.36199 Mid
## 47 CA 22.36199 Mid
## 48 CA 22.36199 Mid
## 49 CA 22.36199 Mid
## 50 CA 22.36199 Mid
## 51 CA 22.36199 Mid
## 52 CA 22.36199 Mid
## 53 CA 22.36199 Mid
## 54 CA 22.36199 Mid
## 55 CA 22.36199 Mid
## 56 CA 22.36199 Mid
## 57 CA 22.36199 Mid
## 58 CA 22.36199 Mid
## 59 CA 22.36199 Mid
## 60 CA 22.36199 Mid
## 61 CA 22.36199 Mid
## 62 CA 22.36199 Mid
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## [ reached 'max' / getOption("max.print") -- omitted 2374402 rows ]Once you are done with that, you can compute the following:
- Number of entries (records),
- Number of NA entries,
- Number of stations,
- Number of states included, and
- Mean temperature, wind-speed, and atmospheric pressure.
All by the levels described before.
summary_cat %>% group_by(temp_cat) %>% summarise(
num_entries = n(),
na_entries = sum(is.na(temp.x)),
num_stations = length(unique(USAFID)),
num_states = length(unique(STATE)),
mean_temp = mean(temp.x,na.rm=TRUE ),
mean_windsp = mean(wind.sp,na.rm=TRUE),
mean_atms_pres = mean(atm.press,na.rm=TRUE)
) %>% as.data.frame()## temp_cat num_entries na_entries num_stations num_states mean_temp mean_windsp
## 1 High 811126 23468 555 12 27.75066 2.514644
## 2 Mid 1135423 29252 781 25 22.39909 2.352712
## 3 low 430794 7369 259 11 18.96446 2.637410
## mean_atms_pres
## 1 1013.738
## 2 1014.383
## 3 1014.366Knit the document, commit your changes, and push them to GitHub.
Question 5: Advanced Regression
Let’s practice running regression models with smooth functions on X.
We need the mgcv package and gam() function to
do this.
using your data with the median values per station, examine the association between median temperature (y) and median wind speed (x). Create a scatterplot of the two variables using ggplot2. Add both a linear regression line and a smooth line.
fit both a linear model and a spline model (use
gam()with a cubic regression spline on wind speed). Summarize and plot the results from the models and interpret which model is the best fit and why.
library(mgcv)## Loading required package: nlme##
## Attaching package: 'nlme'## The following object is masked from 'package:dplyr':
##
## collapse## This is mgcv 1.8-41. For overview type 'help("mgcv-package")'.library(ggplot2)
#data
med_station_lz <- met_lz %>% group_by(USAFID) %>% summarise(
across (c(temp, wind.sp), function(x) quantile(x,probs = 0.5,na.rm=TRUE))) %>% as.data.frame()#plot scatter plot
ggplot(med_station_lz, aes(x=wind.sp, y=temp))+
geom_point()+
geom_smooth(method='lm',col="red")+
geom_smooth(col="blue")## `geom_smooth()` using formula = 'y ~ x'## Warning: Removed 16 rows containing non-finite values (`stat_smooth()`).## `geom_smooth()` using method = 'gam' and formula = 'y ~ s(x, bs = "cs")'## Warning: Removed 16 rows containing non-finite values (`stat_smooth()`).## Warning: Removed 16 rows containing missing values (`geom_point()`).
#linear model
lmod <- lm(temp ~ wind.sp, data = med_station_lz)
plot(lmod)
summary(lmod)##
## Call:
## lm(formula = temp ~ wind.sp, data = med_station_lz)
##
## Residuals:
## Min 1Q Median 3Q Max
## -17.7243 -2.6518 -0.2309 2.7691 14.5052
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 22.23088 0.21779 102.08 < 2e-16 ***
## wind.sp 0.48614 0.08212 5.92 3.94e-09 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 3.849 on 1577 degrees of freedom
## (16 observations deleted due to missingness)
## Multiple R-squared: 0.02174, Adjusted R-squared: 0.02112
## F-statistic: 35.05 on 1 and 1577 DF, p-value: 3.941e-09#gam model
gmod<- gam(temp ~s(wind.sp,k = 7, fx = TRUE, bs = "cr"), data = med_station_lz)
plot(gmod)
summary(gmod)##
## Family: gaussian
## Link function: identity
##
## Formula:
## temp ~ s(wind.sp, k = 7, fx = TRUE, bs = "cr")
##
## Parametric coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 23.38566 0.09549 244.9 <2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Approximate significance of smooth terms:
## edf Ref.df F p-value
## s(wind.sp) 6 6 14.42 <2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## R-sq.(adj) = 0.0486 Deviance explained = 5.22%
## GCV = 14.463 Scale est. = 14.399 n = 1579Interpretation: Both models generate a p-value less than 0.05. However, the p-value for the spline is lower than the linear model. Therefore, the spline should be a better model fit.